Machine Learning in Chemistry
Author:
Affiliation:
1. Massachusetts Institute of Technology
Publisher
American Chemical Society
Reference302 articles.
1. Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces
2. ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
3. Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
4. Machine learning of molecular electronic properties in chemical compound space
5. Accelerating Chemical Discovery with Machine Learning: Simulated Evolution of Spin Crossover Complexes with an Artificial Neural Network
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