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Vaibhav bihani
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Natural language processing-guided meta-analysis and structure factor database extraction from glass literature
M Zaki, SR Namireddy, T Pittie, V Bihani, SR Keshri, V Venugopal, ...
Journal of Non-Crystalline Solids: X 15, 100103, 2022
72022
Egraffbench: Evaluation of equivariant graph neural network force fields for atomistic simulations
V Bihani, S Mannan, U Pratiush, T Du, Z Chen, S Miret, M Micoulaut, ...
Digital Discovery, 2024
32024
Stridernet: A graph reinforcement learning approach to optimize atomic structures on rough energy landscapes
V Bihani, S Manchanda, S Sastry, S Ranu, NMA Krishnan
International Conference on Machine Learning, 2431-2451, 2023
32023
Reactive molecular simulation of shockwave propagation in calcium–silicate–hydrate gels
V Bihani, A Yadav, NMA Krishnan
Journal of Non-Crystalline Solids 590, 121677, 2022
22022
Unsupervised Graph Neural Network Reveals the Structure--Dynamics Correlation in Disordered Systems
V Bihani, S Manchanda, S Ranu, NM Krishnan
arXiv preprint arXiv:2206.12575, 2022
12022
Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning
S Mannan, V Bihani, NMA Krishnan, JC Mauro
Materials Genome Engineering Advances, e25, 2024
2024
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Articles 1–6