Ab initio potential-energy surfaces for complex, multichannel systems using modified novelty sampling and feedforward neural networks.

By Lionel Raff, M. Malshe, M. Hagan, D. I. Doughan, M. Rockley, Ranga Komanduri. 2005

136 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Materials Chemistry

Citations in the corpus

• Integrating Physics-Based Modeling with Machine Learning: A Survey (2020, unknown): “Parameterization [198] [157] [203] [135] [169] [95] [43] [90] [186] [212] [29] [33] [189] [292] [23] [24] [285] [21] [23] [294]”