Bihani, Vaibhav

3 publications

ICLRW 2025 Evaluating Universal Interatomic Potentials for Molecular Dynamics of Real-World Minerals Sajid Mannan, Carmelo Gonzales, Vaibhav Bihani, Kin Long Kelvin Lee, Nitya Nand Gosvami, Santiago Miret, N M Anoop Krishnan

NeurIPSW 2023 EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M Smedskjaer, Sayan Ranu, N M Anoop Krishnan

ICML 2023 StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N M Anoop Krishnan