Basis-free neural-network geminal and Jastrow factors inside an AGP ansatz achieve sub-millihartree accuracy for H2 and rectangular H4 in VMC while exposing nodal errors at square H4 geometry.
Hornik, Approximation capabilities of multilayer feed- forward networks, Neural Netw.4, 251 (1991)
2 Pith papers cite this work. Polarity classification is still indexing.
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An unsupervised non-fully-connected deep neural network is applied to two-body systems with spin and isospin degrees of freedom and verified on the deuteron bound state.
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Basis-free neural-network geminal and Jastrow factors for variational Monte Carlo
Basis-free neural-network geminal and Jastrow factors inside an AGP ansatz achieve sub-millihartree accuracy for H2 and rectangular H4 in VMC while exposing nodal errors at square H4 geometry.
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A neural network approach for two-body systems with spin and isospin degrees of freedom
An unsupervised non-fully-connected deep neural network is applied to two-body systems with spin and isospin degrees of freedom and verified on the deuteron bound state.