Fermionic neural-network states for ab-initio electronic structure

Despite the importance of neural-network quantum states, representing fermionic matter is yet to be fully achieved. Here the authors map fermionic degrees of freedom to spin ones and use neural-networks to perform electronic structure calculations on model diatomic molecules to achieve chemical accu...

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Detalles Bibliográficos
Autores principales:	Kenny Choo, Antonio Mezzacapo, Giuseppe Carleo
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/33bdf8234a854173ac0adada5147c2a5
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id	oai:doaj.org-article:33bdf8234a854173ac0adada5147c2a5
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spelling	oai:doaj.org-article:33bdf8234a854173ac0adada5147c2a52021-12-02T16:50:21ZFermionic neural-network states for ab-initio electronic structure10.1038/s41467-020-15724-92041-1723https://doaj.org/article/33bdf8234a854173ac0adada5147c2a52020-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15724-9https://doaj.org/toc/2041-1723Despite the importance of neural-network quantum states, representing fermionic matter is yet to be fully achieved. Here the authors map fermionic degrees of freedom to spin ones and use neural-networks to perform electronic structure calculations on model diatomic molecules to achieve chemical accuracy.Kenny ChooAntonio MezzacapoGiuseppe CarleoNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Kenny Choo Antonio Mezzacapo Giuseppe Carleo Fermionic neural-network states for ab-initio electronic structure
description	Despite the importance of neural-network quantum states, representing fermionic matter is yet to be fully achieved. Here the authors map fermionic degrees of freedom to spin ones and use neural-networks to perform electronic structure calculations on model diatomic molecules to achieve chemical accuracy.
format	article
author	Kenny Choo Antonio Mezzacapo Giuseppe Carleo
author_facet	Kenny Choo Antonio Mezzacapo Giuseppe Carleo
author_sort	Kenny Choo
title	Fermionic neural-network states for ab-initio electronic structure
title_short	Fermionic neural-network states for ab-initio electronic structure
title_full	Fermionic neural-network states for ab-initio electronic structure
title_fullStr	Fermionic neural-network states for ab-initio electronic structure
title_full_unstemmed	Fermionic neural-network states for ab-initio electronic structure
title_sort	fermionic neural-network states for ab-initio electronic structure
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/33bdf8234a854173ac0adada5147c2a5
work_keys_str_mv	AT kennychoo fermionicneuralnetworkstatesforabinitioelectronicstructure AT antoniomezzacapo fermionicneuralnetworkstatesforabinitioelectronicstructure AT giuseppecarleo fermionicneuralnetworkstatesforabinitioelectronicstructure
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Fermionic neural-network states for ab-initio electronic structure

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