publications | Sukriti Manna

A complete chronological list of my publications. My name is underlined in author lists. Selected papers are highlighted on the homepage. For metrics and the latest record, see my Google Scholar profile.

Preprints & Under Review

2026

arXiv

AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation

Sukriti Manna, Henry Chan, and Subramanian K. R. S. Sankaranarayanan

2026

Under review

arXiv Bib

@misc{manna2026automoose,
  category = {preprint},
  title = {{AutoMOOSE}: An Agentic AI for Autonomous Phase-Field Simulation},
  author = {Manna, Sukriti and Chan, Henry and Sankaranarayanan, Subramanian K. R. S.},
  year = {2026},
  archiveprefix = {arXiv},
  url = {https://arxiv.org/abs/2603.20986},
  note = {Under review},
}

arXiv

AutoMOOSE: Use Case and Logical Views of Agentic Phase-Field Simulation Software

Sukriti Manna, Henry Chan, and Subramanian K. R. S. Sankaranarayanan

2026

Systems and engineering perspective companion to arXiv:2603.20986

arXiv Bib

@misc{manna2026automooseusecase,
  category = {preprint},
  title = {{AutoMOOSE}: Use Case and Logical Views of Agentic Phase-Field Simulation Software},
  author = {Manna, Sukriti and Chan, Henry and Sankaranarayanan, Subramanian K. R. S.},
  year = {2026},
  archiveprefix = {arXiv},
  url = {https://arxiv.org/abs/2608.20571},
  note = {Systems and engineering perspective companion to arXiv:2603.20986},
}

Research Sq.

Long-Range Electrostatics and Born Effective Charges from Invariant Moment Tensor Potentials with Latent Ewald Summation (MTP-LES)

Abibat Adekoya-Olowofela, Sukriti Manna, Shola Folarin, Aditya Koneru, Christopher Knight, and Subramanian K. R. S. Sankaranarayanan

2026

Under review at npj Computational Materials

DOI Bib

@misc{adekoya2026mtples,
  category = {preprint},
  title = {Long-Range Electrostatics and {Born} Effective Charges from Invariant Moment Tensor Potentials with Latent {Ewald} Summation ({MTP-LES})},
  author = {Adekoya-Olowofela, Abibat and Manna, Sukriti and Folarin, Shola and Koneru, Aditya and Knight, Christopher and Sankaranarayanan, Subramanian K. R. S.},
  year = {2026},
  doi = {10.21203/rs.3.rs-10466954/v1},
  url = {https://www.researchsquare.com/article/rs-10466954/v1},
  note = {Under review at npj Computational Materials},
}

2025

arXiv

Physics-Informed Tree Search for High-Dimensional Computational Design

Suvo Banik, Troy D. Loeffler, Henry Chan, Sukriti Manna, Ozgur Yildiz, Tom Peterka, and Subramanian K. R. S. Sankaranarayanan

2025

Under review

Bib

@misc{banik2025physicstree,
  category = {preprint},
  title = {Physics-Informed Tree Search for High-Dimensional Computational Design},
  author = {Banik, Suvo and Loeffler, Troy D. and Chan, Henry and Manna, Sukriti and Yildiz, Ozgur and Peterka, Tom and Sankaranarayanan, Subramanian K. R. S.},
  year = {2025},
  archiveprefix = {arXiv},
  note = {Under review},
}

arXiv

Phase-Field Modeling of Two-Phase Flows: A Projection-Based Cahn–Hilliard–Navier–Stokes Framework

Sukriti Manna, Constantine M. Megaridis, and Subramanian K. R. S. Sankaranarayanan

2025

Under review

Bib

@misc{manna2025phasefield,
  category = {preprint},
  title = {Phase-Field Modeling of Two-Phase Flows: A Projection-Based {Cahn--Hilliard--Navier--Stokes} Framework},
  author = {Manna, Sukriti and Megaridis, Constantine M. and Sankaranarayanan, Subramanian K. R. S.},
  year = {2025},
  archiveprefix = {arXiv},
  note = {Under review},
}

arXiv

Generalized Machine Learning Potential Models for Elemental Nanoclusters

Suvo Banik, Akshay Aggarwal, Sukriti Manna, Partha S. Dutta, and Subramanian K. R. S. Sankaranarayanan

2025

Under review

Bib

@misc{banik2025generalized,
  category = {preprint},
  title = {Generalized Machine Learning Potential Models for Elemental Nanoclusters},
  author = {Banik, Suvo and Aggarwal, Akshay and Manna, Sukriti and Dutta, Partha S. and Sankaranarayanan, Subramanian K. R. S.},
  year = {2025},
  archiveprefix = {arXiv},
  note = {Under review},
}

Accepted / In Press

2026

arXiv

Data-Driven Discovery of Process–Structure Relationships in Additive Manufacturing via Featurization from Kinetic Monte Carlo Simulations and Interpretable Machine Learning

Dipayan Sanpui, Henry Chan, Aditya Koneru, Suvo Banik, Sukriti Manna, and Subramanian K. R. S. Sankaranarayanan

2026

Accepted, Machine Learning with Applications, 2026 (in press)

Bib

@misc{sanpui2026datadriven,
  category = {inpress},
  title = {Data-Driven Discovery of Process--Structure Relationships in Additive Manufacturing via Featurization from Kinetic {Monte} {Carlo} Simulations and Interpretable Machine Learning},
  author = {Sanpui, Dipayan and Chan, Henry and Koneru, Aditya and Banik, Suvo and Manna, Sukriti and Sankaranarayanan, Subramanian K. R. S.},
  year = {2026},
  archiveprefix = {arXiv},
  note = {Accepted, Machine Learning with Applications, 2026 (in press)},
}

Nat. Commun.

Two-Dimensional Layered High-Entropy Alloys: Road to Superior Thermal and Electrical Characteristics of Transition Metal Chalcogenides

Alireza Ahmadiparidari, Shuoxun Wang, Sukriti Manna, Sina Namvar, Zahra Hemmat, Kushal Kumar, Srilok Srinivasan, Tian Yang, Hamed Shahbazi, Leily Majidi, Igor Bolotin, Pierre Darancet, Maria Chan, Jordi Cabana, Nathan P. Guisinger, Yi Liu, Zhennan Huang, Subramanian K. R. S. Sankaranarayanan, and Amin Salehi-Khojin

2026

Accepted, Nature Communications, 2026 (in press)

Bib

@misc{ahmadiparidari2024highentropy,
  category = {inpress},
  title = {Two-Dimensional Layered High-Entropy Alloys: Road to Superior Thermal and Electrical Characteristics of Transition Metal Chalcogenides},
  author = {Ahmadiparidari, Alireza and Wang, Shuoxun and Manna, Sukriti and Namvar, Sina and Hemmat, Zahra and Kumar, Kushal and Srinivasan, Srilok and Yang, Tian and Shahbazi, Hamed and Majidi, Leily and Bolotin, Igor and Darancet, Pierre and Chan, Maria and Cabana, Jordi and Guisinger, Nathan P. and Liu, Yi and Huang, Zhennan and Sankaranarayanan, Subramanian K. R. S. and Salehi-Khojin, Amin},
  year = {2026},
  note = {Accepted, Nature Communications, 2026 (in press)},
}

Peer-Reviewed Journal Articles

2026

ACS Omega

Interface and Thermophysical Properties of R32 Refrigerant

Abibat Adekoya-Olowofela, Sukriti Manna, and Subramanian K. R. S. Sankaranarayanan

ACS Omega, 2026

DOI Bib

@article{adekoyaolowofela2026r32,
  category = {journal},
  title = {Interface and Thermophysical Properties of {R32} Refrigerant},
  author = {Adekoya-Olowofela, Abibat and Manna, Sukriti and Sankaranarayanan, Subramanian K. R. S.},
  journal = {ACS Omega},
  volume = {11},
  number = {24},
  pages = {34987--34997},
  year = {2026},
  doi = {10.1021/acsomega.5c10261},
}

J. Phys. Chem. C

Machine Learning an Ab-initio Based Bond-Order Potential for Bismuthene

Partha S. Dutta, Aditya Koneru, Adil Muhammed, Henry Chan, Karthik Balasubramanian, Sukriti Manna, Troy D. Loeffler, Kiran Sasikumar, Pierre Darancet, and Subramanian K. R. S. Sankaranarayanan

The Journal of Physical Chemistry C, 2026

DOI Bib

@article{dutta2026bismuthene,
  category = {journal},
  title = {Machine Learning an Ab-initio Based Bond-Order Potential for Bismuthene},
  author = {Dutta, Partha S. and Koneru, Aditya and Muhammed, Adil and Chan, Henry and Balasubramanian, Karthik and Manna, Sukriti and Loeffler, Troy D. and Sasikumar, Kiran and Darancet, Pierre and Sankaranarayanan, Subramanian K. R. S.},
  journal = {The Journal of Physical Chemistry C},
  volume = {130},
  number = {12},
  pages = {4584--4595},
  year = {2026},
  doi = {10.1021/acs.jpcc.5c08318},
}

J. Phys. Chem. Lett.

Edge-Localized Strain in MoS2 Nanobubbles Resolved at 5 nm by Chemical Imaging and Geometric Mechanics

Sayantan Mahapatra, Soumyajit Rajak, Sukriti Manna, Tomojit Chowdhury, Ce Liang, Subramanian K. R. S. Sankaranarayanan, Nathan P. Guisinger, Jeffrey R. Guest, and Nan Jiang

The Journal of Physical Chemistry Letters, 2026

DOI Bib

@article{mahapatra2026mos2,
  category = {journal},
  title = {Edge-Localized Strain in {MoS2} Nanobubbles Resolved at 5\,nm by Chemical Imaging and Geometric Mechanics},
  author = {Mahapatra, Sayantan and Rajak, Soumyajit and Manna, Sukriti and Chowdhury, Tomojit and Liang, Ce and Sankaranarayanan, Subramanian K. R. S. and Guisinger, Nathan P. and Guest, Jeffrey R. and Jiang, Nan},
  journal = {The Journal of Physical Chemistry Letters},
  volume = {117},
  number = {3},
  pages = {720--727},
  year = {2026},
  doi = {10.1021/acs.jpclett.5c03379},
}

npj Comput. Mater.

Physically Interpretable Interatomic Potentials via Symbolic Regression and Reinforcement Learning

Bilvin Varughese, Troy D. Loeffler, Suvo Banik, Aditya Koneru, Sukriti Manna, Karthik Balasubramanian, Rohit Batra, Mathew J. Cherukara, Ozgur Yildiz, Tom Peterka, Bobby G. Sumpter, and Subramanian K. R. S. Sankaranarayanan

npj Computational Materials, 2026

DOI Bib

@article{varughese2026symbolic,
  category = {journal},
  title = {Physically Interpretable Interatomic Potentials via Symbolic Regression and Reinforcement Learning},
  author = {Varughese, Bilvin and Loeffler, Troy D. and Banik, Suvo and Koneru, Aditya and Manna, Sukriti and Balasubramanian, Karthik and Batra, Rohit and Cherukara, Mathew J. and Yildiz, Ozgur and Peterka, Tom and Sumpter, Bobby G. and Sankaranarayanan, Subramanian K. R. S.},
  journal = {npj Computational Materials},
  volume = {12},
  pages = {84},
  year = {2026},
  doi = {10.1038/s41524-025-01952-4},
}

Eng. Reports

Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing

Dipayan Sanpui, Ajay Chandra, Henry Chan, Sukriti Manna, and Subramanian K. R. S. Sankaranarayanan

Engineering Reports, 2026

DOI Bib

@article{sanpui2026probabilistic,
  category = {journal},
  title = {Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing},
  author = {Sanpui, Dipayan and Chandra, Ajay and Chan, Henry and Manna, Sukriti and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Engineering Reports},
  volume = {8},
  number = {3},
  pages = {e70680},
  year = {2026},
  doi = {10.1016/j.mattod.2025.12.009},
}

2025

Mater. Today

Solid Lubricant Mo2TiC2Tx MXene Coatings with Prolonged Macroscale Superlubricity

Sai V. Sunkara, Sukriti Manna, Diego F. Zambrano, Brian C. Wyatt, Joseph Patenaude, Brett G. Wright, Yi Liu, Subramanian K. R. S. Sankaranarayanan, Babak Anasori, Andreas Rosenkranz, and Anirudha V. Sumant

Materials Today, 2025

DOI Bib

@article{sunkara2025mxene,
  category = {journal},
  title = {Solid Lubricant {Mo2TiC2Tx} {MXene} Coatings with Prolonged Macroscale Superlubricity},
  author = {Sunkara, Sai V. and Manna, Sukriti and Zambrano, Diego F. and Wyatt, Brian C. and Patenaude, Joseph and Wright, Brett G. and Liu, Yi and Sankaranarayanan, Subramanian K. R. S. and Anasori, Babak and Rosenkranz, Andreas and Sumant, Anirudha V.},
  journal = {Materials Today},
  volume = {92},
  pages = {294--303},
  year = {2025},
  doi = {10.1016/j.mattod.2025.12.009},
}

Mater. Today Adv.

Development and Assessment of Hierarchical Multi-Reward Reinforcement Learning Based Potential for Silicene with State-of-the-art Models

Aditya Koneru, Partha S. Dutta, Adil Muhammed, Henry Chan, Karthik Balasubramanian, Sukriti Manna, Kiran Sasikumar, Pierre Darancet, and Subramanian K. R. S. Sankaranarayanan

Materials Today Advances, 2025

DOI Bib

@article{koneru2025silicene,
  category = {journal},
  title = {Development and Assessment of Hierarchical Multi-Reward Reinforcement Learning Based Potential for Silicene with State-of-the-art Models},
  author = {Koneru, Aditya and Dutta, Partha S. and Muhammed, Adil and Chan, Henry and Balasubramanian, Karthik and Manna, Sukriti and Sasikumar, Kiran and Darancet, Pierre and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Materials Today Advances},
  volume = {26},
  pages = {100583},
  year = {2025},
  doi = {10.1016/j.mtadv.2025.100583},
}

Small

Self-Lubricating Tribo-catalytic Activity of Two-Dimensional High Entropy Alloy Nanoflakes

Shuoxun Wang, Sai V. Sunkara, Sukriti Manna, Alireza Ahmadiparidari, Kushal Kumar, Tian Yang, Sina Namvar, Zhennan Huang, Jordi Cabana, Subramanian K. R. S. Sankaranarayanan, Yi Liu, Anirudha V. Sumant, and Amin Salehi-Khojin

Small, 2025

DOI Bib

@article{wang2025tribocatalytic,
  category = {journal},
  title = {Self-Lubricating Tribo-catalytic Activity of Two-Dimensional High Entropy Alloy Nanoflakes},
  author = {Wang, Shuoxun and Sunkara, Sai V. and Manna, Sukriti and Ahmadiparidari, Alireza and Kumar, Kushal and Yang, Tian and Namvar, Sina and Huang, Zhennan and Cabana, Jordi and Sankaranarayanan, Subramanian K. R. S. and Liu, Yi and Sumant, Anirudha V. and Salehi-Khojin, Amin},
  journal = {Small},
  volume = {21},
  pages = {2500322},
  year = {2025},
  doi = {10.1002/smll.202500322},
}

ACS Nano

Kelvin Force Imaging of Synaptic Plasticity in Hydrogenated Perovskite Nickelate Multibit Memory Devices

Tushar Dey, Xinyi Lai, Sukriti Manna, Kshitij Patel, Ravindra S. Bisht, Yifei Zhou, Surbhi Shah, Eva Y. Andrei, Subramanian K. R. S. Sankaranarayanan, Duygu Kuzum, Catherine D. Schuman, and Shriram Ramanathan

ACS Nano, 2025

DOI Bib

@article{dey2025nickelate,
  category = {journal},
  title = {Kelvin Force Imaging of Synaptic Plasticity in Hydrogenated Perovskite Nickelate Multibit Memory Devices},
  author = {Dey, Tushar and Lai, Xinyi and Manna, Sukriti and Patel, Kshitij and Bisht, Ravindra S. and Zhou, Yifei and Shah, Surbhi and Andrei, Eva Y. and Sankaranarayanan, Subramanian K. R. S. and Kuzum, Duygu and Schuman, Catherine D. and Ramanathan, Shriram},
  journal = {ACS Nano},
  volume = {19},
  number = {7},
  pages = {6815--6825},
  year = {2025},
  doi = {10.1021/acsnano.4c11567},
}

Comp. Mater. Sci.

Machine Learning Enabled Discovery of Superhard And Ultrahard Carbon Polymorphs

Karthik Balasubramanian, Sukriti Manna, Suvo Banik, Srilok Srinivasan, Rohit Batra, and Subramanian K. R. S. Sankaranarayanan

Computational Materials Science, 2025

DOI Bib

@article{balasubramanian2025superhard,
  category = {journal},
  title = {Machine Learning Enabled Discovery of Superhard And Ultrahard Carbon Polymorphs},
  author = {Balasubramanian, Karthik and Manna, Sukriti and Banik, Suvo and Srinivasan, Srilok and Batra, Rohit and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Computational Materials Science},
  volume = {246},
  pages = {113506},
  year = {2025},
  doi = {10.1016/j.commatsci.2024.113506},
}

Comp. Mater. Sci.

Data-Driven Insights into the Characteristics of Wide Bandgap Semiconductors in 2D Materials

Karthik Balasubramanian, Sukriti Manna, and Subramanian K. R. S. Sankaranarayanan

Computational Materials Science, 2025

DOI Bib

@article{balasubramanian2025bandgap,
  category = {journal},
  title = {Data-Driven Insights into the Characteristics of Wide Bandgap Semiconductors in {2D} Materials},
  author = {Balasubramanian, Karthik and Manna, Sukriti and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Computational Materials Science},
  volume = {246},
  pages = {113476},
  year = {2025},
  doi = {10.1016/j.commatsci.2024.113476},
}

2024

J. Phys. Chem. A

Development of a Machine Learning Potential to Study the Structure and Thermodynamics of Nickel Nanoclusters

Suvo Banik, Partha S. Dutta, Sukriti Manna, and Subramanian K. R. S. Sankaranarayanan

The Journal of Physical Chemistry A(Featured on the cover) , 2024

Awarded DOI Bib

Cover Article

@article{banik2024nickel,
  category = {journal},
  title = {Development of a Machine Learning Potential to Study the Structure and Thermodynamics of Nickel Nanoclusters},
  author = {Banik, Suvo and Dutta, Partha S. and Manna, Sukriti and Sankaranarayanan, Subramanian K. R. S.},
  journal = {The Journal of Physical Chemistry A},
  year = {2024},
  doi = {10.1021/acs.jpca.4c04048},
}

J. Phys. Chem. A

Ab Initio-Based Bond Order Potential for Arsenene Polymorphs Developed via Hierarchical Reinforcement Learning

Aditya Koneru, Adil Muhammad, Karthik Balasubramanian, Kiran Sasikumar, Sukriti Manna, Henry Chan, and Subramanian K. R. S. Sankaranarayanan

The Journal of Physical Chemistry A, 2024

DOI Bib

@article{koneru2024arsenene,
  category = {journal},
  title = {Ab Initio-Based Bond Order Potential for Arsenene Polymorphs Developed via Hierarchical Reinforcement Learning},
  author = {Koneru, Aditya and Muhammad, Adil and Balasubramanian, Karthik and Sasikumar, Kiran and Manna, Sukriti and Chan, Henry and Sankaranarayanan, Subramanian K. R. S.},
  journal = {The Journal of Physical Chemistry A},
  volume = {128},
  number = {28},
  pages = {5752--5761},
  year = {2024},
  doi = {10.1021/acs.jpca.4c01040},
}

J. Chem. Theory Comput.

Machine Learning Simple Interpretable Short Range Potential for Silica

Aditya Koneru, Henry Chan, Sukriti Manna, Suvo Banik, Valeria Molinero, and Subramanian K. R. S. Sankaranarayanan

Journal of Chemical Theory and Computation(Featured on the cover) , 2024

Awarded DOI Bib

Cover Article

@article{koneru2024silica,
  category = {journal},
  title = {Machine Learning Simple Interpretable Short Range Potential for Silica},
  author = {Koneru, Aditya and Chan, Henry and Manna, Sukriti and Banik, Suvo and Molinero, Valeria and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Journal of Chemical Theory and Computation},
  volume = {20},
  number = {19},
  pages = {8665--8674},
  year = {2024},
  doi = {10.1021/acs.jctc.4c00639},
}

ACS Appl. Mater. Interfaces

Active and Transfer Learning of High Dimensional Neural Network Potentials for Transition Metals

Bilvin Varughese, Sukriti Manna, Troy D. Loeffler, Rohit Batra, Mathew Cherukara, and Subramanian K. R. S. Sankaranarayanan

ACS Applied Materials & Interfaces, 2024

DOI Bib

@article{varughese2024transition,
  category = {journal},
  title = {Active and Transfer Learning of High Dimensional Neural Network Potentials for Transition Metals},
  author = {Varughese, Bilvin and Manna, Sukriti and Loeffler, Troy D. and Batra, Rohit and Cherukara, Mathew and Sankaranarayanan, Subramanian K. R. S.},
  journal = {ACS Applied Materials \& Interfaces},
  volume = {16},
  number = {16},
  pages = {20681--20692},
  year = {2024},
  doi = {10.1021/acsami.3c15399},
}

Comp. Mater. Sci.

Machine Learning for Elastic Properties of Materials: A Predictive Benchmarking Study in a Domain-Segmented Feature Space

Suvo Banik, Karthik Balasubramanian, Sukriti Manna, Sybil Derrible, and Subramanian K. R. S. Sankaranarayanan

Computational Materials Science, 2024

DOI Bib

@article{banik2024elastic,
  category = {journal},
  title = {Machine Learning for Elastic Properties of Materials: A Predictive Benchmarking Study in a Domain-Segmented Feature Space},
  author = {Banik, Suvo and Balasubramanian, Karthik and Manna, Sukriti and Derrible, Sybil and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Computational Materials Science},
  volume = {236},
  pages = {112847},
  year = {2024},
  doi = {10.1016/j.commatsci.2024.112847},
}

Nano Lett.

Sub-nanometre Scale Doping Heterogeneity of Partially Hydrogenated Vanadium Dioxide

Alexandre Pofelski, Hui Jia, Sicong Deng, Heshan Yu, Tae Joon Park, Sukriti Manna, Maria K. Y. Chan, Subramanian K. R. S. Sankaranarayanan, Shriram Ramanathan, and Yimei Zhu

Nano Letters, 2024

DOI Bib

@article{pofelski2024vanadium,
  category = {journal},
  title = {Sub-nanometre Scale Doping Heterogeneity of Partially Hydrogenated Vanadium Dioxide},
  author = {Pofelski, Alexandre and Jia, Hui and Deng, Sicong and Yu, Heshan and Park, Tae Joon and Manna, Sukriti and Chan, Maria K. Y. and Sankaranarayanan, Subramanian K. R. S. and Ramanathan, Shriram and Zhu, Yimei},
  journal = {Nano Letters},
  volume = {24},
  number = {6},
  pages = {1974--1980},
  year = {2024},
  doi = {10.1021/acs.nanolett.3c04411},
}

ACS Nano

Infrared Nanoimaging of Hydrogenated Perovskite Nickelate Memristive Devices

Sampath Gamage, Sukriti Manna, Marc Zajac, Sasha Hancock, Qi Wang, Saurabh Singh, Mahsa Ghafari, Kaichen Yao, Tom Tiwald, Tae Joon Park, David P. Landau, Haiyan Wen, Subramanian K. R. S. Sankaranarayanan, Pierre Darancet, Shriram Ramanathan, and Yohannes Abate

ACS Nano, 2024

DOI Bib

@article{gamage2024nickelate,
  category = {journal},
  title = {Infrared Nanoimaging of Hydrogenated Perovskite Nickelate Memristive Devices},
  author = {Gamage, Sampath and Manna, Sukriti and Zajac, Marc and Hancock, Sasha and Wang, Qi and Singh, Saurabh and Ghafari, Mahsa and Yao, Kaichen and Tiwald, Tom and Park, Tae Joon and Landau, David P. and Wen, Haiyan and Sankaranarayanan, Subramanian K. R. S. and Darancet, Pierre and Ramanathan, Shriram and Abate, Yohannes},
  journal = {ACS Nano},
  volume = {18},
  number = {3},
  pages = {2105--2116},
  year = {2024},
  doi = {10.1021/acsnano.3c09281},
}

APL Mach. Learn.

Learning the Stable and Metastable Phase Diagram to Accelerate the Discovery of Metastable Phases of Boron

Karthik Balasubramanian, Suvo Banik, Sukriti Manna, Srilok Srinivasan, and Subramanian K. R. S. Sankaranarayanan

APL Machine Learning, 2024

DOI Bib

@article{balasubramanian2024boron,
  category = {journal},
  title = {Learning the Stable and Metastable Phase Diagram to Accelerate the Discovery of Metastable Phases of Boron},
  author = {Balasubramanian, Karthik and Banik, Suvo and Manna, Sukriti and Srinivasan, Srilok and Sankaranarayanan, Subramanian K. R. S.},
  journal = {APL Machine Learning},
  volume = {2},
  pages = {016103},
  year = {2024},
  doi = {10.1063/5.0175994},
}

Comp. Mater. Sci.

Understanding Structure-Processing Relationships in Metal Additive Manufacturing via Featurization of Microstructural Images

Dipayan Sanpui, Ajay Chandra, Sukriti Manna, Partha S. Dutta, Maria K. Y. Chan, Henry Chan, and Subramanian K. R. S. Sankaranarayanan

Computational Materials Science, 2024

DOI Bib

@article{sanpui2024am,
  category = {journal},
  title = {Understanding Structure-Processing Relationships in Metal Additive Manufacturing via Featurization of Microstructural Images},
  author = {Sanpui, Dipayan and Chandra, Ajay and Manna, Sukriti and Dutta, Partha S. and Chan, Maria K. Y. and Chan, Henry and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Computational Materials Science},
  volume = {231},
  pages = {112566},
  year = {2024},
  doi = {10.1016/j.commatsci.2023.112566},
}

2023

npj Comput. Mater.

A Continuous Action Space Tree Search for Inverse Design (CASTING) Framework for Materials Discovery

Suvo Banik, Troy D. Loeffler, Sukriti Manna, Srilok Srinivasan, Pierre Darancet, Henry Chan, Alexander Hexemer, and Subramanian K. R. S. Sankaranarayanan

npj Computational Materials, 2023

DOI Bib

@article{banik2023casting,
  category = {journal},
  title = {A Continuous Action Space Tree Search for Inverse Design ({CASTING}) Framework for Materials Discovery},
  author = {Banik, Suvo and Loeffler, Troy D. and Manna, Sukriti and Srinivasan, Srilok and Darancet, Pierre and Chan, Henry and Hexemer, Alexander and Sankaranarayanan, Subramanian K. R. S.},
  journal = {npj Computational Materials},
  volume = {9},
  number = {1},
  pages = {177},
  year = {2023},
  doi = {10.1038/s41524-023-01128-y},
}

Sci. Adv.

Selective Area Doping for Mott Neuromorphic Electronics

Sicong Deng, Heshan Yu, Tae Joon Park, ANM Nafiul Islam, Sukriti Manna, Alexandre Pofelski, Qi Wang, Yimei Zhu, Subramanian K. R. S. Sankaranarayanan, Abhronil Sengupta, and Shriram Ramanathan

Science Advances, 2023

DOI Bib

@article{deng2023mott,
  category = {journal},
  title = {Selective Area Doping for {Mott} Neuromorphic Electronics},
  author = {Deng, Sicong and Yu, Heshan and Park, Tae Joon and Islam, ANM Nafiul and Manna, Sukriti and Pofelski, Alexandre and Wang, Qi and Zhu, Yimei and Sankaranarayanan, Subramanian K. R. S. and Sengupta, Abhronil and Ramanathan, Shriram},
  journal = {Science Advances},
  volume = {9},
  number = {11},
  year = {2023},
  doi = {10.1126/sciadv.ade4838},
}

Mater. Manuf. Process.

Machine-Learning of Piezoelectric Coefficients for Wurtzite Crystals

Sukriti Manna, Min Wang, Alexandru Barbu, and Cristian V. Ciobanu

Materials and Manufacturing Processes, 2023

DOI Bib

@article{manna2023piezoml,
  category = {journal},
  title = {Machine-Learning of Piezoelectric Coefficients for Wurtzite Crystals},
  author = {Manna, Sukriti and Wang, Min and Barbu, Alexandru and Ciobanu, Cristian V.},
  journal = {Materials and Manufacturing Processes},
  volume = {226},
  pages = {112223},
  year = {2023},
  doi = {10.1080/10426914.2023.2219308},
}

Sci. Data

A Database to Enable the Design and Discovery of Atomically Precise Nanoclusters

Sukriti Manna, Yunzhe Wang, Alberto Hernandez, Peter Lile, Shuai Liu, and Tim Mueller

Scientific Data, 2023

DOI Bib

@article{manna2023qcd,
  category = {journal},
  title = {A Database to Enable the Design and Discovery of Atomically Precise Nanoclusters},
  author = {Manna, Sukriti and Wang, Yunzhe and Hernandez, Alberto and Lile, Peter and Liu, Shuai and Mueller, Tim},
  journal = {Scientific Data},
  volume = {10},
  pages = {308},
  year = {2023},
  doi = {10.1038/s41597-023-02200-4},
}

Comp. Mater. Sci.

Understanding and Control of Zener Pinning via Phase Field and Ensemble Learning

Sukriti Manna, Henry Chan, Avishek Ghosh, Tushar Chakrabarti, and Subramanian K. R. S. Sankaranarayanan

Computational Materials Science, 2023

DOI Bib

@article{manna2023zener,
  category = {journal},
  title = {Understanding and Control of {Zener} Pinning via Phase Field and Ensemble Learning},
  author = {Manna, Sukriti and Chan, Henry and Ghosh, Avishek and Chakrabarti, Tushar and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Computational Materials Science},
  volume = {229},
  pages = {112384},
  year = {2023},
  doi = {10.1016/j.commatsci.2023.112384},
}

npj Comput. Mater.

Multi-Reward Reinforcement Learning Based Development of Inter-atomic Potential Models for Silica

Aditya Koneru, Henry Chan, Sukriti Manna, Suvo Banik, Valeria Molinero, and Subramanian K. R. S. Sankaranarayanan

npj Computational Materials, 2023

DOI Bib

@article{koneru2023silica_npj,
  category = {journal},
  title = {Multi-Reward Reinforcement Learning Based Development of Inter-atomic Potential Models for Silica},
  author = {Koneru, Aditya and Chan, Henry and Manna, Sukriti and Banik, Suvo and Molinero, Valeria and Sankaranarayanan, Subramanian K. R. S.},
  journal = {npj Computational Materials},
  volume = {9},
  pages = {125},
  year = {2023},
  doi = {10.1038/s41524-023-01074-9},
}

Comp. Mater. Sci.

Elastemp—A Workflow to Compute the Quasi-Harmonic Temperature-Dependent Elastic Constants for Materials

Karthik Balasubramanian, Sukriti Manna, and Subramanian K. R. S. Sankaranarayanan

Computational Materials Science, 2023

DOI Bib

@article{balasubramanian2023elastemp,
  category = {journal},
  title = {{Elastemp}---A Workflow to Compute the Quasi-Harmonic Temperature-Dependent Elastic Constants for Materials},
  author = {Balasubramanian, Karthik and Manna, Sukriti and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Computational Materials Science},
  volume = {226},
  pages = {112223},
  year = {2023},
  doi = {10.1016/j.commatsci.2023.112223},
}

npj Comput. Mater.

CEGANN: Crystal Edge Graph Attention Neural Network for Multiscale Classification of Materials Environment

Suvo Banik, Debdas Dhabal, Henry Chan, Sukriti Manna, Mathew Cherukara, Valeria Molinero, and Subramanian K. R. S. Sankaranarayanan

npj Computational Materials, 2023

DOI Bib

@article{banik2023cegann,
  category = {journal},
  title = {{CEGANN}: Crystal Edge Graph Attention Neural Network for Multiscale Classification of Materials Environment},
  author = {Banik, Suvo and Dhabal, Debdas and Chan, Henry and Manna, Sukriti and Cherukara, Mathew and Molinero, Valeria and Sankaranarayanan, Subramanian K. R. S.},
  journal = {npj Computational Materials},
  volume = {9},
  pages = {23},
  year = {2023},
  doi = {10.1038/s41524-023-00975-z},
}

2022

Nat. Commun.

Learning in Continuous Action Space for Determination of High Dimensional Potential Energy Surfaces

Sukriti Manna, Troy D. Loeffler, Rohit Batra, Suvo Banik, Henry Chan, Bilvin Varughese, Kiran Sasikumar, Michael Sternberg, Tom Peterka, Mathew Cherukara, Stephen Gray, Bobby G. Sumpter, and Subramanian K. R. S. Sankaranarayanan

Nature Communications(Featured in Nature Communications Collection on Machine Learning for Chemistry) , 2022

DOI Bib

@article{manna2022blast,
  category = {journal},
  title = {Learning in Continuous Action Space for Determination of High Dimensional Potential Energy Surfaces},
  author = {Manna, Sukriti and Loeffler, Troy D. and Batra, Rohit and Banik, Suvo and Chan, Henry and Varughese, Bilvin and Sasikumar, Kiran and Sternberg, Michael and Peterka, Tom and Cherukara, Mathew and Gray, Stephen and Sumpter, Bobby G. and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Nature Communications},
  volume = {13},
  number = {1},
  pages = {368},
  year = {2022},
  doi = {10.1038/s41467-021-27849-6},
}

Science

Reconfigurable Perovskite Electronics for Artificial Intelligence

Hai-Tian Zhang, Tae Joon Park, ANM Nafiul Islam, Dat S. J. Tran, Sukriti Manna, Qi Wang, Sukirti Mondal, Heshan Yu, Suvo Banik, Shaobo Cheng, Hua Zhou, Sampath Gamage, Sayantan Mahapatra, Yimei Zhu, Yohannes Abate, Nan Jiang, Subramanian K. R. S. Sankaranarayanan, Abhronil Sengupta, Christof Teuscher, and Shriram Ramanathan

Science, 2022

DOI Bib

@article{zhang2022perovskite,
  category = {journal},
  title = {Reconfigurable Perovskite Electronics for Artificial Intelligence},
  author = {Zhang, Hai-Tian and Park, Tae Joon and Islam, ANM Nafiul and Tran, Dat S. J. and Manna, Sukriti and Wang, Qi and Mondal, Sukirti and Yu, Heshan and Banik, Suvo and Cheng, Shaobo and Zhou, Hua and Gamage, Sampath and Mahapatra, Sayantan and Zhu, Yimei and Abate, Yohannes and Jiang, Nan and Sankaranarayanan, Subramanian K. R. S. and Sengupta, Abhronil and Teuscher, Christof and Ramanathan, Shriram},
  journal = {Science},
  volume = {375},
  number = {6580},
  pages = {533--539},
  year = {2022},
  doi = {10.1126/science.abn6196},
}

Nano Lett.

Perovskite p-bits for Probabilistic Computing

Tae Joon Park, Kerem Selçuk, Hai-Tian Zhang, Sukriti Manna, Rohit Batra, Qi Wang, Heshan Yu, Subramanian K. R. S. Sankaranarayanan, Kerem Y. Camsari, and Shriram Ramanathan

Nano Letters, 2022

DOI Bib

@article{park2022pbits,
  category = {journal},
  title = {Perovskite p-bits for Probabilistic Computing},
  author = {Park, Tae Joon and Sel{\c{c}}uk, Kerem and Zhang, Hai-Tian and Manna, Sukriti and Batra, Rohit and Wang, Qi and Yu, Heshan and Sankaranarayanan, Subramanian K. R. S. and Camsari, Kerem Y. and Ramanathan, Shriram},
  journal = {Nano Letters},
  volume = {22},
  number = {21},
  pages = {8654--8661},
  year = {2022},
  doi = {10.1021/acs.nanolett.2c03223},
}

Adv. Mater.

Complex Oxide Materials, Devices and Networks for Brain-Inspired Computing: A Review

Tae Joon Park, Sicong Deng, Sukriti Manna, ANM Nafiul Islam, Heshan Yu, Yongqi Yuan, Dillon D. Fong, Alexander A. Chubykin, Abhronil Sengupta, Subramanian K. R. S. Sankaranarayanan, and Shriram Ramanathan

Advanced Materials, 2022

DOI Bib

@article{park2022review,
  category = {journal},
  title = {Complex Oxide Materials, Devices and Networks for Brain-Inspired Computing: A Review},
  author = {Park, Tae Joon and Deng, Sicong and Manna, Sukriti and Islam, ANM Nafiul and Yu, Heshan and Yuan, Yongqi and Fong, Dillon D. and Chubykin, Alexander A. and Sengupta, Abhronil and Sankaranarayanan, Subramanian K. R. S. and Ramanathan, Shriram},
  journal = {Advanced Materials},
  volume = {35},
  number = {37},
  pages = {2203352},
  year = {2022},
  doi = {10.1002/adma.202203352},
}

npj Comput. Mater.

Accelerated Prediction of Atomically Precise Cluster Structures Using On-the-fly Machine Learning

Yunzhe Wang, Shuai Liu, Peter Lile, Samuel Norwood, Alberto Hernandez, Sukriti Manna, and Tim Mueller

npj Computational Materials, 2022

DOI Bib

@article{wang2022onthefly,
  category = {journal},
  title = {Accelerated Prediction of Atomically Precise Cluster Structures Using On-the-fly Machine Learning},
  author = {Wang, Yunzhe and Liu, Shuai and Lile, Peter and Norwood, Samuel and Hernandez, Alberto and Manna, Sukriti and Mueller, Tim},
  journal = {npj Computational Materials},
  volume = {8},
  number = {1},
  pages = {1--10},
  year = {2022},
  doi = {10.1038/s41524-022-00856-x},
}

Nat. Commun.

Machine Learning the Metastable Phase Diagram of Materials

Srilok Srinivasan, Rohit Batra, Duo Luo, Troy D. Loeffler, Sukriti Manna, Henry Chan, Lei Yang, Wenge Yang, Jianguo Wen, Pierre Darancet, and Subramanian K. R. S. Sankaranarayanan

Nature Communications, 2022

DOI Bib

@article{srinivasan2022metastable,
  category = {journal},
  title = {Machine Learning the Metastable Phase Diagram of Materials},
  author = {Srinivasan, Srilok and Batra, Rohit and Luo, Duo and Loeffler, Troy D. and Manna, Sukriti and Chan, Henry and Yang, Lei and Yang, Wenge and Wen, Jianguo and Darancet, Pierre and Sankaranarayanan, Subramanian K. R. S.},
  journal = {Nature Communications},
  volume = {13},
  pages = {3251},
  year = {2022},
  doi = {10.1038/s41467-022-30820-8},
}

J. Phys. Chem. Lett.

Multi-Reward Reinforcement Learning Based Bond Order Potential to Study Strain-Assisted Phase Transitions in Phosphorene

Aditya Koneru, Rohit Batra, Sukriti Manna, Troy D. Loeffler, Henry Chan, Harish Singh, Mathew Cherukara, and Subramanian K. R. S. Sankaranarayanan

The Journal of Physical Chemistry Letters(Featured on the cover) , 2022

Awarded DOI Bib

Cover Article

@article{koneru2022phosphorene,
  category = {journal},
  title = {Multi-Reward Reinforcement Learning Based Bond Order Potential to Study Strain-Assisted Phase Transitions in Phosphorene},
  author = {Koneru, Aditya and Batra, Rohit and Manna, Sukriti and Loeffler, Troy D. and Chan, Henry and Singh, Harish and Cherukara, Mathew and Sankaranarayanan, Subramanian K. R. S.},
  journal = {The Journal of Physical Chemistry Letters},
  volume = {13},
  number = {7},
  pages = {1886--1893},
  year = {2022},
  doi = {10.1021/acs.jpclett.1c03551},
}

ACS Appl. Mater. Interfaces

Unusual High Hardness and Load-Dependent Mechanical Characteristics of Hydrogenated Carbon-Nitrogen Hybrid Films

Neeraj Dwivedi, Karthik Balasubramanian, Rashmi Sahu, Sukriti Manna, Suvo Banik, Chetna Dhand, Rajesh Kumar, Sajid Hashmi, Atul K. Srivastava, Mohammad S. M. Saifullah, and Subramanian K. R. S. Sankaranarayanan

ACS Applied Materials & Interfaces, 2022

DOI Bib

@article{dwivedi2022carbonnitrogen,
  category = {journal},
  title = {Unusual High Hardness and Load-Dependent Mechanical Characteristics of Hydrogenated Carbon-Nitrogen Hybrid Films},
  author = {Dwivedi, Neeraj and Balasubramanian, Karthik and Sahu, Rashmi and Manna, Sukriti and Banik, Suvo and Dhand, Chetna and Kumar, Rajesh and Hashmi, Sajid and Srivastava, Atul K. and Saifullah, Mohammad S. M. and Sankaranarayanan, Subramanian K. R. S.},
  journal = {ACS Applied Materials \& Interfaces},
  volume = {14},
  number = {17},
  pages = {20220--20229},
  year = {2022},
  doi = {10.1021/acsami.2c01508},
}

2021

ACS Nano

High-Entropy 2D Carbide MXenes: TiVNbMoC3 and TiVCrMoC3

Sai K. Nemani, Bowen Zhang, Brian C. Wyatt, Zachary D. Hood, Sukriti Manna, Reza Khaledialidusti, Wei Hong, Michael G. Sternberg, Subramanian K. R. S. Sankaranarayanan, and Babak Anasori

ACS Nano, 2021

DOI Bib

@article{nemani2021mxene,
  category = {journal},
  title = {High-Entropy {2D} Carbide {MXenes}: {TiVNbMoC3} and {TiVCrMoC3}},
  author = {Nemani, Sai K. and Zhang, Bowen and Wyatt, Brian C. and Hood, Zachary D. and Manna, Sukriti and Khaledialidusti, Reza and Hong, Wei and Sternberg, Michael G. and Sankaranarayanan, Subramanian K. R. S. and Anasori, Babak},
  journal = {ACS Nano},
  volume = {15},
  number = {8},
  pages = {12815--12825},
  year = {2021},
  doi = {10.1021/acsnano.1c02775},
}

2020

ChemCatChem

Active Learning a Neural Network Model for Gold Clusters and Bulk from Sparse First Principles Training Data

Troy D. Loeffler, Sukriti Manna, Tarak K. Patra, Henry Chan, Badri Narayanan, and Subramanian K. R. S. Sankaranarayanan

ChemCatChem(Featured on the cover) , 2020

Awarded DOI Bib

Cover Article

@article{loeffler2020gold,
  category = {journal},
  title = {Active Learning a Neural Network Model for Gold Clusters and Bulk from Sparse First Principles Training Data},
  author = {Loeffler, Troy D. and Manna, Sukriti and Patra, Tarak K. and Chan, Henry and Narayanan, Badri and Sankaranarayanan, Subramanian K. R. S.},
  journal = {ChemCatChem},
  volume = {12},
  number = {19},
  pages = {4796--4806},
  year = {2020},
  doi = {10.1002/cctc.202000774},
}

Nat. Commun.

Perovskite Neural Trees

Hai-Tian Zhang, Tae Joon Park, Ivan A. Zaluzhnyy, Qi Wang, Suresh Nagnath Wadekar, Sukriti Manna, Robert Andrawis, Phillip O. Sprau, Yifei Sun, Zhen Zhang, Chongzhao Huang, Hua Zhou, Zhan Zhang, Badri Narayanan, Ganesh Srinivasan, Nong Hua, Evgeny Nazaretski, Xiaojing Huang, Hanfei Yan, Mingyuan Ge, Yong S. Chu, Mathew J. Cherukara, Martin V. Holt, Mohan Krishnamurthy, Oleg G. Shpyrko, Subramanian K. R. S. Sankaranarayanan, Alex Frano, Kaushik Roy, and Shriram Ramanathan

Nature Communications, 2020

DOI Bib

@article{zhang2020perovskiteneural,
  category = {journal},
  title = {Perovskite Neural Trees},
  author = {Zhang, Hai-Tian and Park, Tae Joon and Zaluzhnyy, Ivan A. and Wang, Qi and Wadekar, Suresh Nagnath and Manna, Sukriti and Andrawis, Robert and Sprau, Phillip O. and Sun, Yifei and Zhang, Zhen and Huang, Chongzhao and Zhou, Hua and Zhang, Zhan and Narayanan, Badri and Srinivasan, Ganesh and Hua, Nong and Nazaretski, Evgeny and Huang, Xiaojing and Yan, Hanfei and Ge, Mingyuan and Chu, Yong S. and Cherukara, Mathew J. and Holt, Martin V. and Krishnamurthy, Mohan and Shpyrko, Oleg G. and Sankaranarayanan, Subramanian K. R. S. and Frano, Alex and Roy, Kaushik and Ramanathan, Shriram},
  journal = {Nature Communications},
  volume = {11},
  pages = {2245},
  year = {2020},
  doi = {10.1038/s41467-020-16105-y},
}

2018

J. Mater. Chem. A

Ionic vs. van der Waals Layered Materials: Identification and Comparison of Elastic Anisotropy

Robert W. McKinney, Prashun Gorai, Sukriti Manna, Eric S. Toberer, and Vladan Stevanović

Journal of Materials Chemistry A(Journal of Materials Chemistry A HOT Papers collection) , 2018

DOI Bib

@article{mckinney2018layered,
  category = {journal},
  title = {Ionic vs. van der Waals Layered Materials: Identification and Comparison of Elastic Anisotropy},
  author = {McKinney, Robert W. and Gorai, Prashun and Manna, Sukriti and Toberer, Eric S. and Stevanovi{\'c}, Vladan},
  journal = {Journal of Materials Chemistry A},
  volume = {6},
  number = {32},
  pages = {15828--15838},
  year = {2018},
  doi = {10.1039/C8TA04933E},
}

Comp. Mater. Sci.

Effect of Coherent Precipitates on Zener Pinning

Tamoghna Chakraborti and Sukriti Manna

Computational Materials Science, 2018

DOI Bib

@article{chakraborti2018zener,
  category = {journal},
  title = {Effect of Coherent Precipitates on {Zener} Pinning},
  author = {Chakraborti, Tamoghna and Manna, Sukriti},
  journal = {Computational Materials Science},
  volume = {154},
  pages = {84--90},
  year = {2018},
  doi = {10.1016/j.commatsci.2018.07.041},
}

J. Mater. Chem. C

Large Piezoelectric Response of van der Waals Layered Solids

Sukriti Manna, Prashun Gorai, Geoff L. Brennecka, Cristian V. Ciobanu, and Vladan Stevanović

Journal of Materials Chemistry C, 2018

DOI Bib

@article{manna2018vdwpiezo,
  category = {journal},
  title = {Large Piezoelectric Response of van der Waals Layered Solids},
  author = {Manna, Sukriti and Gorai, Prashun and Brennecka, Geoff L. and Ciobanu, Cristian V. and Stevanovi{\'c}, Vladan},
  journal = {Journal of Materials Chemistry C},
  volume = {6},
  number = {41},
  pages = {11035--11044},
  year = {2018},
  doi = {10.1039/C8TC02560F},
}

IEEE T-UFFC

Characterization of Elastic Modulus Across the Al(1-x)Sc(x)N System Using DFT and Nanoindentation

Dong Wu, Yachao Chen, Sukriti Manna, Kevin R. Talley, Andriy Zakutayev, Cristian V. Ciobanu, Paul Constantine, Geoff L. Brennecka, and Corinne E. Packard

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2018

DOI Bib

@article{wu2018alscn,
  category = {journal},
  title = {Characterization of Elastic Modulus Across the {Al(1-x)Sc(x)N} System Using {DFT} and Nanoindentation},
  author = {Wu, Dong and Chen, Yachao and Manna, Sukriti and Talley, Kevin R. and Zakutayev, Andriy and Ciobanu, Cristian V. and Constantine, Paul and Brennecka, Geoff L. and Packard, Corinne E.},
  journal = {IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control},
  volume = {65},
  number = {11},
  pages = {2167--2175},
  year = {2018},
  doi = {10.1109/TUFFC.2018.2862240},
}

Phys. Rev. Appl.

Enhanced Piezoelectric Response of AlN via CrN Alloying

Sukriti Manna, Kevin R. Talley, Prashun Gorai, John Mangum, Andriy Zakutayev, Geoff L. Brennecka, Vladan Stevanović, and Cristian V. Ciobanu

Physical Review Applied, 2018

DOI Bib

@article{manna2018alncrn,
  category = {journal},
  title = {Enhanced Piezoelectric Response of {AlN} via {CrN} Alloying},
  author = {Manna, Sukriti and Talley, Kevin R. and Gorai, Prashun and Mangum, John and Zakutayev, Andriy and Brennecka, Geoff L. and Stevanovi{\'c}, Vladan and Ciobanu, Cristian V.},
  journal = {Physical Review Applied},
  volume = {9},
  number = {3},
  pages = {034026--034036},
  year = {2018},
  doi = {10.1103/PhysRevApplied.9.034026},
}

J. Phys. Chem. C

Thermodynamic Stability of Molybdenum Oxycarbides Formed from Orthorhombic Mo2C in Oxygen-Rich Environments

Sri Ranga Jai Likith, Carrie A. Farberow, Sukriti Manna, Abdulfattah Abdulslam, Vladan Stevanović, Daniel A. Ruddy, Joshua A. Schaidle, David J. Robichaud, and Cristian V. Ciobanu

The Journal of Physical Chemistry C, 2018

DOI Bib

@article{likith2018molybdenum,
  category = {journal},
  title = {Thermodynamic Stability of Molybdenum Oxycarbides Formed from Orthorhombic {Mo2C} in Oxygen-Rich Environments},
  author = {Likith, Sri Ranga Jai and Farberow, Carrie A. and Manna, Sukriti and Abdulslam, Abdulfattah and Stevanovi{\'c}, Vladan and Ruddy, Daniel A. and Schaidle, Joshua A. and Robichaud, David J. and Ciobanu, Cristian V.},
  journal = {The Journal of Physical Chemistry C},
  volume = {122},
  number = {2},
  pages = {1223--1233},
  year = {2018},
  doi = {10.1021/acs.jpcc.7b11110},
}

J. Am. Ceram. Soc.

Thermal Regimes of Li-ion Conductivity in β-Eucryptite

Yachao Chen, Sukriti Manna, Cristian V. Ciobanu, and Ivar E. Reimanis

Journal of the American Ceramic Society, 2018

DOI Bib

@article{chen2018eucryptite,
  category = {journal},
  title = {Thermal Regimes of {Li}-ion Conductivity in $\beta$-Eucryptite},
  author = {Chen, Yachao and Manna, Sukriti and Ciobanu, Cristian V. and Reimanis, Ivar E.},
  journal = {Journal of the American Ceramic Society},
  volume = {101},
  number = {1},
  pages = {347--355},
  year = {2018},
  doi = {10.1111/jace.15173},
}

2017

Mater. Des.

Grain Boundary Driven Plateau–Rayleigh Instability in Multilayer Nanocrystalline Thin Film: A Phase-Field Study

Tushar Chakrabarti, Neha Verma, and Sukriti Manna

Materials & Design, 2017

DOI Bib

@article{chakrabarti2017rayleigh,
  category = {journal},
  title = {Grain Boundary Driven {Plateau--Rayleigh} Instability in Multilayer Nanocrystalline Thin Film: A Phase-Field Study},
  author = {Chakrabarti, Tushar and Verma, Neha and Manna, Sukriti},
  journal = {Materials \& Design},
  volume = {119},
  pages = {425--436},
  year = {2017},
  doi = {10.1016/j.matdes.2017.01.085},
}

J. Appl. Phys.

Tuning the Piezoelectric and Mechanical Properties of the AlN System via Alloying with YN and BN

Sukriti Manna, Geoff L. Brennecka, Vladan Stevanović, and Cristian V. Ciobanu

Journal of Applied Physics(Editor’s Pick; featured in AIP Scilight) , 2017

Awarded DOI Bib

Editor’s Pick

@article{manna2017aln,
  category = {journal},
  title = {Tuning the Piezoelectric and Mechanical Properties of the {AlN} System via Alloying with {YN} and {BN}},
  author = {Manna, Sukriti and Brennecka, Geoff L. and Stevanovi{\'c}, Vladan and Ciobanu, Cristian V.},
  journal = {Journal of Applied Physics},
  volume = {122},
  number = {10},
  pages = {105101--105108},
  year = {2017},
  doi = {10.1063/1.4993254},
}

2016

Scr. Mater.

Pressure Induced Phase Transformation in β-Eucryptite: An X-ray Diffraction and Density Functional Theory Study

Yachao Chen, Sukriti Manna, Badri Narayanan, Zhao Wang, Ivar E. Reimanis, and Cristian V. Ciobanu

Scripta Materialia, 2016

DOI Bib

@article{chen2016eucryptite,
  category = {journal},
  title = {Pressure Induced Phase Transformation in $\beta$-Eucryptite: An {X}-ray Diffraction and Density Functional Theory Study},
  author = {Chen, Yachao and Manna, Sukriti and Narayanan, Badri and Wang, Zhao and Reimanis, Ivar E. and Ciobanu, Cristian V.},
  journal = {Scripta Materialia},
  volume = {122},
  pages = {64--67},
  year = {2016},
  doi = {10.1016/j.scriptamat.2016.05.005},
}

JMSCE

Comparative Studies on Synthesis and Characterization of Titania and Iron Oxide Doped Magnesia from Indian Salem Magnesite

Sukriti Manna and Tamoghna Chakraborti

Journal of Materials Science and Chemical Engineering, 2016

DOI Bib

@article{manna2016magnesite,
  category = {journal},
  title = {Comparative Studies on Synthesis and Characterization of Titania and Iron Oxide Doped Magnesia from Indian {Salem} Magnesite},
  author = {Manna, Sukriti and Chakraborti, Tamoghna},
  journal = {Journal of Materials Science and Chemical Engineering},
  volume = {4},
  number = {7},
  pages = {67--76},
  year = {2016},
  doi = {10.4236/msce.2016.47010},
}

Conference Proceedings

2025

IEEE EDTM

A Digital Twin for Advanced Manufacturing of Materials

Dipayan Sanpui, Ajay Chandra, Sukriti Manna, Henry Chan, and Subramanian K. R. S. Sankaranarayanan

In 9th IEEE Electron Devices Technology and Manufacturing Conference (EDTM 2025), 2025

Bib

@inproceedings{sanpui2025digitaltwin,
  category = {conference},
  title = {A Digital Twin for Advanced Manufacturing of Materials},
  author = {Sanpui, Dipayan and Chandra, Ajay and Manna, Sukriti and Chan, Henry and Sankaranarayanan, Subramanian K. R. S.},
  booktitle = {9th IEEE Electron Devices Technology and Manufacturing Conference (EDTM 2025)},
  address = {Hong Kong, China},
  year = {2025},
}

2023

M&M

Dopant Mapping of Partially Hydrogenated Vanadium Dioxide using the Energy Loss Near Edge Structure Technique

Alexandre Pofelski, Sicong Deng, Heshan Yu, Tae Joon Park, Hui Jia, Sukriti Manna, Maria K. Y. Chan, Subramanian K. R. S. Sankaranarayanan, Shriram Ramanathan, and Yimei Zhu

In Microscopy and Microanalysis, 2023

Bib

@inproceedings{pofelski2023vo2,
  category = {conference},
  title = {Dopant Mapping of Partially Hydrogenated Vanadium Dioxide using the Energy Loss Near Edge Structure Technique},
  author = {Pofelski, Alexandre and Deng, Sicong and Yu, Heshan and Park, Tae Joon and Jia, Hui and Manna, Sukriti and Chan, Maria K. Y. and Sankaranarayanan, Subramanian K. R. S. and Ramanathan, Shriram and Zhu, Yimei},
  booktitle = {Microscopy and Microanalysis},
  volume = {29},
  number = {Supplement 1},
  pages = {1667--1668},
  year = {2023},
}

2017

Characterization and Modeling of Elastic Modulus Across the (Al, Sc)N System

Corinne E. Packard, Dong Wu, Kevin R. Talley, Sukriti Manna, Cristian V. Ciobanu, Paul Constantine, Geoff Brennecka, and Andriy Zakutayev

In Composites at Lake Louise, 2017

Bib

@inproceedings{packard2017scn,
  category = {conference},
  title = {Characterization and Modeling of Elastic Modulus Across the {(Al, Sc)N} System},
  author = {Packard, Corinne E. and Wu, Dong and Talley, Kevin R. and Manna, Sukriti and Ciobanu, Cristian V. and Constantine, Paul and Brennecka, Geoff and Zakutayev, Andriy},
  booktitle = {Composites at Lake Louise},
  year = {2017},
}

Combinatorial Studies on the Effect of Boron Addition to the Aluminum-Scandium Nitride System

Kevin R. Talley, Sukriti Manna, Andriy Zakutayev, Corinne E. Packard, Cristian V. Ciobanu, and Geoff L. Brennecka

In Proceedings of the 18th US-Japan Seminar on Advanced Dielectrics and Piezoelectrics, 2017

Bib

@inproceedings{talley2017boron,
  category = {conference},
  title = {Combinatorial Studies on the Effect of Boron Addition to the Aluminum-Scandium Nitride System},
  author = {Talley, Kevin R. and Manna, Sukriti and Zakutayev, Andriy and Packard, Corinne E. and Ciobanu, Cristian V. and Brennecka, Geoff L.},
  booktitle = {Proceedings of the 18th US-Japan Seminar on Advanced Dielectrics and Piezoelectrics},
  address = {Santa Fe, NM},
  year = {2017},
}

Education & Outreach

2018

Am. Ceram. Soc. Bull.

Computational Discovery of New Piezoelectric Materials

Sukriti Manna

American Ceramic Society Bulletin, 2018

Bib

@article{manna2018outreach,
  category = {outreach},
  title = {Computational Discovery of New Piezoelectric Materials},
  author = {Manna, Sukriti},
  journal = {American Ceramic Society Bulletin},
  volume = {97},
  number = {5},
  pages = {32},
  year = {2018},
}

Patents

2019

Patent

Tuning the Piezoelectric and Mechanical Properties of the AlN System via Alloying with YN and BN

Sukriti Manna, Geoff L. Brennecka, Vladan Stevanović, and Cristian V. Ciobanu

2019

U.S. Provisional Patent Application #P267260

Bib

@misc{manna2019patent,
  category = {patent},
  title = {Tuning the Piezoelectric and Mechanical Properties of the {AlN} System via Alloying with {YN} and {BN}},
  author = {Manna, Sukriti and Brennecka, Geoff L. and Stevanovi{\'c}, Vladan and Ciobanu, Cristian V.},
  year = {2019},
  note = {U.S. Provisional Patent Application \#P267260},
}