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QSAR without borders - Chemical Society Reviews (RSC Publishing) DOI:10.1039/D0CS00098A
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Neural network potentials for chemistry: concepts, applications and prospects - Digital Discovery (RSC Publishing) DOI:10.1039/D2DD00102K
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PotentialNet for Molecular Property Prediction | ACS Central Science
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials | Journal of Chemical Theory and Computation
Machine Learning for Electronically Excited States of Molecules | Chemical Reviews
Machine Learning for Electronically Excited States of Molecules | Chemical Reviews
QSAR without borders - Chemical Society Reviews (RSC Publishing) DOI:10.1039/D0CS00098A
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials | Journal of Chemical Theory and Computation
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A Perspective on Deep Learning for Molecular Modeling and Simulations | The Journal of Physical Chemistry A
Machine Learning for Electronically Excited States of Molecules | Chemical Reviews
Machine‐learning‐based interatomic potentials for advanced manufacturing - Yu - 2021 - International Journal of Mechanical System Dynamics - Wiley Online Library
Machine Learning for Electronically Excited States of Molecules | Chemical Reviews
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