1 citations · 4 across the 6 of their papers we have counts for
13 papers
MATRIX: A Multimodal Benchmark and Post-Training Framework for Materials Science
Delia McGrath, Curtis Chong, Rohil Kulkarni +2
Scientific reasoning in materials science requires integrating multimodal experimental evidence with underlying physical theory. Existing benchmarks make it difficult to assess whe…
Mechanisms of alkali ionic transport in amorphous oxyhalides solid state conductors
Luca Binci, KyuJung Jun, Bowen Deng +1
Amorphous oxyhalides have attracted significant attention due to their relatively high ionic conductivity (1 mS cm), excellent chemical stability, mechanical softness, an…
Li+/H+ exchange in solid-state oxide Li-ion conductors
Zhuohan Li, Benjamin X. Lam, Shilong Wang +1
Understanding the moisture stability of oxide Li-ion conductors is important for their practical applications in solid-state batteries. Unlike sulfide or halide conductors, oxide c…
Investigating the Degradation of LATP Solid Electrolyte in High Alkaline Li- Batteries
Tara P Mishra, Zhuohan Li, Meghan Shen +8
In this study, we address the challenge of electrolyte degradation in all-solid-state humidified Li- batteries, which offer high theoretical energy density and potential cost…
TorchSim: An efficient atomistic simulation engine in PyTorch
Orion Cohen, Janosh Riebesell, Rhys Goodall +6
We introduce TorchSim, an open-source atomistic simulation engine tailored for the Machine Learned Interatomic Potential (MLIP) era. By rewriting core atomistic simulation primitiv…
DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials
Kevin Han, Bowen Deng, Amir Barati Farimani +1
Large-scale atomistic simulations are essential to bridge computational materials and chemistry to realistic materials and drug discovery applications. In the past few years, rapid…