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Quantum-chemical insights from deep tensor neural networks
Kristof T. Schütt
, Farhad Arbabzadah
, Stefan Chmiela
,
Klaus R. Müller
*
, Alexandre Tkatchenko
*
Corresponding author for this work
Department of Artificial Intelligence
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peer-review
1202
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Keyphrases
Aromatic Ring
50%
Atomic Energy
50%
Bioinformatics
50%
Chemical Insights
100%
Chemical Potential
50%
Chemical Space
50%
Chemical System
50%
Deep Learning Methods
50%
Efficient Deep Learning
50%
Electronic Structure
50%
Further Application
50%
Image Search
50%
Learning from Data
50%
Machine Learning
100%
Many-body Hamiltonians
50%
Molecular Systems
50%
Quantum Chemistry
100%
Quantum Many-body Systems
50%
Quantum Mechanical
50%
Speech Recognition
50%
Tensor Neural Network
100%
Text Search
50%
Uniformly Accurate
50%
Web Images
50%
Web Search
50%
Web Text
50%
Chemistry
Aromatic Structure
100%
Chemical Potential
100%
Electronic State
100%
Nuclear Energy
100%
stability
100%