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Ziyu Huang

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#machine learning Preprint Aug 2026

Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks

The machine learning framework presented here is a flexible and efficient approach to emulating state-to-state flow-map problems that commonly arise in numerical simulations, and outperforms several commonly used machine learning architectures and performs robustly under the extreme stiffness characteristic of atmosphe...

Isaac Malsky, Xi Zhang, Tiffany Kataria et al. · 0 citations
Preprint Jul 2026

Benchmarking Universal Machine Learning Force Fields for Molecular Dynamics of Lunar Regolith Minerals

Universal machine-learning interatomic potentials provide a promising route for accelerating molecular dynamics simulations of materials, but their transferability to lunar regolith-relevant silicates, oxides, and hydrogen-bearing surface species remains elucidated. Here, we benchmark six foundation models, MACE-MH, Ma...

Ziyu Huang, K. Nomura · 0 citations

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