Machine Learning for Chemical Reactions | Chemical Reviews
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Neural Network Potential Energy Surfaces for Small Molecules and Reactions | Chemical Reviews
Machine Learning for Electronically Excited States of Molecules | Chemical Reviews
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Neural network potentials for chemistry: concepts, applications and prospects - Digital Discovery (RSC Publishing) DOI:10.1039/D2DD00102K
Neural network potentials for chemistry: concepts, applications and prospects - Digital Discovery (RSC Publishing) DOI:10.1039/D2DD00102K
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials | Journal of Chemical Theory and Computation
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials | Journal of Chemical Theory and Computation
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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 Chemical Reactions | Chemical Reviews
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A Perspective on Deep Learning for Molecular Modeling and Simulations | The Journal of Physical Chemistry A
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Network-scale traffic prediction via knowledge transfer and regional MFD analysis - ScienceDirect
QSAR without borders - Chemical Society Reviews (RSC Publishing) DOI:10.1039/D0CS00098A
Integrating Machine Learning in the Coarse-Grained Molecular Simulation of Polymers | The Journal of Physical Chemistry B
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning | Chemical Reviews
