Vaibhav Bihani

1. Foundational Large Language Models for Materials Research
   2024/12/12 by Vaibhav Mishra, Mishra, Vaibhav, Sourabh Singh +17 · 8 citations
   Materials Science · #Machine Learning in Materials Science
2. EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations
   2023/10/03 by Vaibhav Bihani, Utkarsh Pratiush, Bihani, Vaibhav +17 · 4 citations
   Materials Science · Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Materials Science #Protein Structure and Dynamics #Topic Modeling
3. StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
   2023/01/29 by Vaibhav Bihani, Bihani, Vaibhav, Sahil Manchanda +7 · 2 citations
   Materials Science · #Machine Learning in Materials Science
4. Evaluating Universal Machine Learning Force Fields Against Experimental Measurements
   2025/08/07 by Sajid Mannan, Mannan, Sajid, Vaibhav Bihani +13 · 1 voice · 5 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)