MACE-Osaka-24

Emerging

2papers using it

2024first seen

'MACE-Osaka24' is a machine learning interatomic potential used to evaluate adsorption energies and optimize configurations of molecules on alloy surfaces.

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Papers using MACE-Osaka-24 (2)

Taming Multi-Domain, -Fidelity Data: Towards Foundation Models for Atomistic Scale Simulations2024 · 3 cites

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer2025 · 1 cites