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Sukriti Manna

Showing results (1-10 of 22) with videos related to

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ACS Omega|June 29, 2026
Interface and Thermophysical Properties of <i>R</i>32 RefrigerantAbibat Adekoya-Olowofela, Sukriti Manna, Subramanian Krs Sankaranarayanan
The Journal of Physical Chemistry. A|November 13, 2024
Development of a Machine Learning Potential to Study the Structure and Thermodynamics of Nickel NanoclustersSuvo Banik, Partha Sarathi Dutta, Sukriti Manna, et al.
Scientific Data|May 20, 2023
A database of low-energy atomically precise nanoclustersSukriti Manna, Yunzhe Wang, Alberto Hernandez, et al.
Journal of Chemical Theory and Computation|September 16, 2024
Machine Learning a Simple Interpretable Short-Range Potential for SilicaAditya Koneru, Henry Chan, Sukriti Manna, et al.
The Journal of Physical Chemistry. A|June 14, 2024
Ab Initio-Based Bond Order Potential for Arsenene Polymorphs Developed via Hierarchical Reinforcement LearningAditya Koneru, Adil Muhammed, Karthik Balasubramanian, et al.
ACS Applied Materials & Interfaces|April 9, 2024
Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition MetalsBilvin Varughese, Sukriti Manna, Troy D Loeffler, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|August 17, 2018
Characterization of Elastic Modulus Across the (Al<sub>1-x</sub>Sc<sub>x</sub>)N System Using DFT and Substrate-Effect-Corrected NanoindentationDong Wu, Yachao Chen, Sukriti Manna, et al.
The Journal of Physical Chemistry Letters|January 7, 2026
Strain-Modified Raman Responses in Monolayer MoS<sub>2</sub> Nanobubbles Resolved at 5 nmSayantan Mahapatra, Soumyajit Rajak, Sukriti Manna, et al.
The Journal of Physical Chemistry Letters|February 17, 2022
Multi-reward Reinforcement Learning Based Bond-Order Potential to Study Strain-Assisted Phase Transitions in PhosphoreneAditya Koneru, Rohit Batra, Sukriti Manna, et al.
Nature Communications|June 6, 2022
Machine learning the metastable phase diagram of covalently bonded carbonSrilok Srinivasan, Rohit Batra, Duan Luo, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
ACS Omega|June 29, 2026
Interface and Thermophysical Properties of <i>R</i>32 RefrigerantAbibat Adekoya-Olowofela, Sukriti Manna, Subramanian Krs Sankaranarayanan
The Journal of Physical Chemistry. A|November 13, 2024
Development of a Machine Learning Potential to Study the Structure and Thermodynamics of Nickel NanoclustersSuvo Banik, Partha Sarathi Dutta, Sukriti Manna, et al.
Scientific Data|May 20, 2023
A database of low-energy atomically precise nanoclustersSukriti Manna, Yunzhe Wang, Alberto Hernandez, et al.
Journal of Chemical Theory and Computation|September 16, 2024
Machine Learning a Simple Interpretable Short-Range Potential for SilicaAditya Koneru, Henry Chan, Sukriti Manna, et al.
The Journal of Physical Chemistry. A|June 14, 2024
Ab Initio-Based Bond Order Potential for Arsenene Polymorphs Developed via Hierarchical Reinforcement LearningAditya Koneru, Adil Muhammed, Karthik Balasubramanian, et al.
ACS Applied Materials & Interfaces|April 9, 2024
Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition MetalsBilvin Varughese, Sukriti Manna, Troy D Loeffler, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|August 17, 2018
Characterization of Elastic Modulus Across the (Al<sub>1-x</sub>Sc<sub>x</sub>)N System Using DFT and Substrate-Effect-Corrected NanoindentationDong Wu, Yachao Chen, Sukriti Manna, et al.
The Journal of Physical Chemistry Letters|January 7, 2026
Strain-Modified Raman Responses in Monolayer MoS<sub>2</sub> Nanobubbles Resolved at 5 nmSayantan Mahapatra, Soumyajit Rajak, Sukriti Manna, et al.
The Journal of Physical Chemistry Letters|February 17, 2022
Multi-reward Reinforcement Learning Based Bond-Order Potential to Study Strain-Assisted Phase Transitions in PhosphoreneAditya Koneru, Rohit Batra, Sukriti Manna, et al.
Nature Communications|June 6, 2022
Machine learning the metastable phase diagram of covalently bonded carbonSrilok Srinivasan, Rohit Batra, Duan Luo, et al.
Pageof 3