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Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamics
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Machine learning potentials for metal-organic frameworks using an incremental learning approach
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Quantum free energy profiles for molecular proton transfers
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Incorporating long-range interactions and polarization in machine learning potentials with explicit electrons
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Modeling electronic response properties with an explicit-electron machine learning potential
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IOData: A python library for reading, writing, and converting computational chemistry file formats and generating input files