Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications.
Tobias MorawietzNongnuch ArtrithPublished in: J. Comput. Aided Mol. Des. (2021)
Keyphrases
- industrial applications
- quantum mechanics
- machine learning
- industrial systems
- human decision making
- quantum computing
- particle swarm optimisation
- decision theory
- quantum probability
- computational modeling
- learning problems
- artificial intelligence
- neural network
- global optimization
- genetic programming
- search algorithm
- data mining