Rajiv K. Kalia
Affiliations: | Aerospace Engineering: Doctor of Philosophy | University of Southern California, Los Angeles, CA, United States |
Area:
Materials Science EngineeringGoogle:
"Rajiv Kalia"Children
Sign in to add traineeZhen Lu | grad student | 2007 | USC |
Ken-ichi Nomura | grad student | 2008 | USC |
Amit Choubey | grad student | 2014 | USC |
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Publications
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Nomura KI, Mishra A, Sang T, et al. (2024) Molecular Autonomous Pathfinder Using Deep Reinforcement Learning. The Journal of Physical Chemistry Letters. 5288-5294 |
Ma R, Baradwaj N, Nomura KI, et al. (2024) Alkali hydroxide (LiOH, NaOH, KOH) in water: Structural and vibrational properties, including neutron scattering results. The Journal of Chemical Physics. 160 |
Yang L, Nomura KI, Krishnamoorthy A, et al. (2024) Surface Transfer Doping in MoO/Hydrogenated Diamond Heterostructure. The Journal of Physical Chemistry Letters. 15: 1579-1583 |
Kolesnikov AI, Krishnamoorthy A, Nomura KI, et al. (2023) Inelastic Neutron Scattering Study of Phonon Density of States of Iodine Oxides and First-Principles Calculations. The Journal of Physical Chemistry Letters. 10080-10087 |
Linker TM, Nomura KI, Fukushima S, et al. (2023) Induction and Ferroelectric Switching of Flux Closure Domains in Strained PbTiO with Neural Network Quantum Molecular Dynamics. Nano Letters |
Aditya A, Mishra A, Baradwaj N, et al. (2023) Wrinkles, Ridges, Miura-Ori, and Moiré Patterns in MoSe Using Neural Networks. The Journal of Physical Chemistry Letters. 14: 1732-1739 |
Linker T, Nomura KI, Fukushima S, et al. (2022) Squishing Skyrmions: Symmetry-Guided Dynamic Transformation of Polar Topologies Under Compression. The Journal of Physical Chemistry Letters. 13: 11335-11345 |
Krishnamoorthy A, Nomura KI, Baradwaj N, et al. (2022) Hydrogen Bonding in Liquid Ammonia. The Journal of Physical Chemistry Letters. 7051-7057 |
Wang B, Jackson S, Nakano A, et al. (2022) Neural Network for Principle of Least Action. Journal of Chemical Information and Modeling |
Linker T, Nomura KI, Aditya A, et al. (2022) Exploring far-from-equilibrium ultrafast polarization control in ferroelectric oxides with excited-state neural network quantum molecular dynamics. Science Advances. 8: eabk2625 |