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Machine Learning Configuration Interaction
Jeremy P. Coe
Institute of Chemical Sciences
School of Engineering & Physical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
70
Citations (Scopus)
170
Downloads (Pure)
Overview
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INIS
configuration interaction
100%
machine learning
100%
configuration
50%
accuracy
33%
neural networks
33%
randomness
16%
compacts
16%
monte carlo method
16%
comparative evaluations
16%
water
16%
molecules
16%
stochastic processes
16%
geometry
16%
calculation methods
16%
equilibrium
16%
wave functions
16%
iterative methods
16%
perturbations
16%
carbon monoxide
16%
Mathematics
Neural Network
100%
wavefunction ψ
100%
Stochastics
100%
Monte Carlo
100%
Artificial Neural Network
100%
Engineering
Stochastic Approach
100%
Artificial Neural Network
100%
Random Selection
100%
Computer Science
Machine Learning
100%
Artificial Neural Networks
25%
Random Selection
25%
Neural Network
25%
Chemical Engineering
Learning System
100%
Neural Network
50%
Material Science
Carbon Monoxide
100%