AIMNet-2

Emerging

3papers using it

2025first seen

AIMNet-2 is a machine-learned interatomic potential used to evaluate the reliability and efficiency of automated transition-state searches in various chemical reactions.

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Papers using AIMNet-2 (3)

Basic stability tests of machine learning potentials for molecular simulations in computational drug discovery2025 · 5 cites

Reliable and Efficient Automated Transition-State Searches with Machine-Learned Interatomic Potentials2026 · 1 cites

How Accurate Are DFT Forces? Unexpectedly Large Uncertainties in Molecular Datasets2025 · 1 cites