Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials.
Mgcini Keith PhuthiArchie Mingze YaoSimon L. BatznerAlbert MusaelianBoris KozinskyEkin Dogus CubukVenkatasubramanian ViswanathanPublished in: CoRR (2023)
Keyphrases
- machine learning
- artificial intelligence
- human computer interaction
- high accuracy
- machine learning methods
- desirable properties
- high temperature
- pattern recognition
- data analysis
- feature selection
- supervised learning
- high order
- computationally efficient
- user interaction
- higher order
- multiscale
- decision trees
- learning algorithm
- wire frame
- surface temperature
- laser beam
- surface reconstruction
- range data
- learning systems
- machine learning algorithms
- computational intelligence
- active learning
- reinforcement learning
- computer vision