Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning.
Phan NguyenDonald LovelandJoanne T. KimPiyush KarandeAnna M. HiszpanskiThomas Yong-Jin HanPublished in: J. Chem. Inf. Model. (2021)
Keyphrases
- machine learning
- information extraction
- learning tasks
- artificial intelligence
- decision trees
- structural information
- learning problems
- data sets
- knowledge acquisition
- text mining
- semi supervised
- inductive learning
- machine learning methods
- hierarchical structure
- text classification
- natural language processing
- support vector machine
- natural language
- pattern recognition
- reinforcement learning
- three dimensional
- data mining