Predicting energy and stability of known and hypothetical crystals using graph neural network.
Shubham PandeyJiaxing QuVladan StevanovicPeter C. St. JohnPrashun GoraiPublished in: Patterns (2021)
Keyphrases
- neural network
- graph structure
- artificial neural networks
- random walk
- lyapunov function
- graph theoretic
- graph representation
- graph matching
- energy minimization
- energy consumption
- graph model
- pattern recognition
- weighted graph
- graph theory
- neural nets
- graph databases
- feed forward
- back propagation
- neural network model
- stability analysis
- graph based algorithm
- self organizing maps
- structured data
- graph mining
- fuzzy logic
- recurrent neural networks
- energy saving
- neural network is trained
- multi layer
- bp neural network
- radial basis function
- directed graph
- connected components
- genetic algorithm