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12/05/2022
Encrypted machine learning of molecular quantum properties
Large machine learning models with improved predictions have become wide...
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12/18/2019
Neural networks and kernel ridge regression for excited states dynamics of CH_2NH_2^+: From single-state to multi-state representations and multi-property machine learning mode
Excited-state dynamics simulations are a powerful tool to investigate ph...
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01/23/2017
Constant Size Molecular Descriptors For Use With Machine Learning
A set of molecular descriptors whose length is independent of molecular ...
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06/29/2015
Machine learning for many-body physics: efficient solution of dynamical mean-field theory
Machine learning methods for solving the equations of dynamical mean-fie...
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08/05/2014
Machine learning for many-body physics: The case of the Anderson impurity model
Machine learning methods are applied to finding the Green's function of ...
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09/12/2011