A random-sampling high dimensional model representation neural network for building potential energy surfaces

2006 ◽  
Vol 125 (8) ◽  
pp. 084109 ◽  
Author(s):  
Sergei Manzhos ◽  
Tucker Carrington
Keyword(s):  
Neural Network ◽  
Potential Energy ◽  
Random Sampling ◽  
Potential Energy Surfaces ◽  
Model Representation ◽  
High Dimensional ◽  
High Dimensional Model Representation ◽  
Dimensional Model ◽  
Energy Surfaces

Regularized random-sampling high dimensional model representation (RS-HDMR)

2007 ◽  
Vol 43 (3) ◽  
pp. 1207-1232 ◽  
Author(s):  
Genyuan Li ◽  
Herschel Rabitz ◽  
Jishan Hu ◽  
Zheng Chen ◽  
Yiguang Ju
Keyword(s):  
Random Sampling ◽  
Model Representation ◽  
High Dimensional ◽  
High Dimensional Model Representation ◽  
Dimensional Model

scholarly journals Constructing High-Dimensional Neural Network Potential Energy Surfaces for Gas–Surface Scattering and Reactions

2018 ◽  
Vol 122 (3) ◽  
pp. 1761-1769 ◽  
Author(s):  
Qinghua Liu ◽  
Xueyao Zhou ◽  
Linsen Zhou ◽  
Yaolong Zhang ◽  
Xuan Luo ◽  
...  
Keyword(s):  
Neural Network ◽  
Potential Energy ◽  
Potential Energy Surfaces ◽  
Surface Scattering ◽  
High Dimensional ◽  
Energy Surfaces

Random Sampling-High Dimensional Model Representation (RS-HDMR) and Orthogonality of Its Different Order Component Functions

2006 ◽  
Vol 110 (7) ◽  
pp. 2474-2485 ◽  
Author(s):  
Genyuan Li ◽  
Jishan Hu ◽  
Sheng-Wei Wang ◽  
Panos G. Georgopoulos ◽  
Jacqueline Schoendorf ◽  
...  
Keyword(s):  
Random Sampling ◽  
Model Representation ◽  
High Dimensional ◽  
High Dimensional Model Representation ◽  
Dimensional Model ◽  
Order Component ◽  
Different Order
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