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Ab initio quantum chemistry with neural-network wavefunctions

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Ab initio calculation of real solids via neural network ansatz

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Toward Structural Dynamics: Protein Motions Viewed by Chemical Shift Modulations and Direct Detection of C′N Multiple-Quantum Relaxation,Journal of the American Chemical Society - X-MOL

Deep neural electronic wave functions - ECHEMI

Autoregressive neural-network wavefunctions for ab initio quantum

Autoregressive neural-network wavefunctions for ab initio quantum chemistry

Electron density of H10 chains The horizontal axis is scaled by the

Ab initio quantum chemistry with neural-network wavefunctions

Frontiers Machine learning meets quantum mechanics in catalysis

Autoregressive neural-network wavefunctions for ab initio quantum

PDF] Supplementing Recurrent Neural Network Wave Functions with

AI in computational chemistry through the lens of a decade-long journey - Chemical Communications (RSC Publishing) DOI:10.1039/D4CC00010B

Impact of conditional modelling for a universal autoregressive

Mathematics, Free Full-Text