Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids.
Jan G. RittigKarim Ben HichamArtur M. SchweidtmannManuel DahmenAlexander MitsosPublished in: Comput. Chem. Eng. (2023)
Keyphrases
- neural network
- prediction accuracy
- heat transfer
- graph representation
- artificial neural networks to predict
- air temperature
- neural network ensemble
- pattern recognition
- prediction model
- artificial neural networks
- graph theory
- graph based algorithm
- solar radiation
- graph structure
- multi layer perceptron
- prediction algorithm
- graph theoretic
- random walk
- neural networks and support vector machines
- structured data
- high temperature
- radial basis function network
- predictive model
- graph model
- graph mining
- neural nets
- human activities
- numerical simulations
- fault diagnosis
- social network analysis
- chaotic time series
- associative memory
- neural network model