Smart energy models for atomistic simulations using a DFT-driven multifidelity approach.
Luca MessinaAlessio QuaglinoAlexandra GoryaevaMihai-Cosmin MarinicaChristophe DomainNicolas CastinGiovanni BonnyRolf KrausePublished in: CoRR (2018)
Keyphrases
- probabilistic model
- data driven
- parameter estimation
- statistical methods
- energy consumption
- information retrieval
- simulation models
- simulation model
- computational models
- machine learning algorithms
- decision trees
- machine learning
- experimental data
- artificial intelligence
- genetic algorithm
- classification models
- model driven
- agent based simulations