Solving quasiparticle band spectra of real solids using neural-network quantum states

Designing computational methods that can accurately predict useful material properties is an attractive alternative to cumbersome trial and error experimental approaches. Here, the authors present a computational method based on neural-network quantum states, which can reveal many-body quantum pheno...

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Autores principales:	Nobuyuki Yoshioka, Wataru Mizukami, Franco Nori
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/e364adc863584b25bd30c6732a217e34
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spelling	oai:doaj.org-article:e364adc863584b25bd30c6732a217e342021-12-02T15:52:53ZSolving quasiparticle band spectra of real solids using neural-network quantum states10.1038/s42005-021-00609-02399-3650https://doaj.org/article/e364adc863584b25bd30c6732a217e342021-05-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00609-0https://doaj.org/toc/2399-3650Designing computational methods that can accurately predict useful material properties is an attractive alternative to cumbersome trial and error experimental approaches. Here, the authors present a computational method based on neural-network quantum states, which can reveal many-body quantum phenomena of a solid state system similar to first-principles calculations.Nobuyuki YoshiokaWataru MizukamiFranco NoriNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Astrophysics QB460-466 Physics QC1-999
spellingShingle	Astrophysics QB460-466 Physics QC1-999 Nobuyuki Yoshioka Wataru Mizukami Franco Nori Solving quasiparticle band spectra of real solids using neural-network quantum states
description	Designing computational methods that can accurately predict useful material properties is an attractive alternative to cumbersome trial and error experimental approaches. Here, the authors present a computational method based on neural-network quantum states, which can reveal many-body quantum phenomena of a solid state system similar to first-principles calculations.
format	article
author	Nobuyuki Yoshioka Wataru Mizukami Franco Nori
author_facet	Nobuyuki Yoshioka Wataru Mizukami Franco Nori
author_sort	Nobuyuki Yoshioka
title	Solving quasiparticle band spectra of real solids using neural-network quantum states
title_short	Solving quasiparticle band spectra of real solids using neural-network quantum states
title_full	Solving quasiparticle band spectra of real solids using neural-network quantum states
title_fullStr	Solving quasiparticle band spectra of real solids using neural-network quantum states
title_full_unstemmed	Solving quasiparticle band spectra of real solids using neural-network quantum states
title_sort	solving quasiparticle band spectra of real solids using neural-network quantum states
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e364adc863584b25bd30c6732a217e34
work_keys_str_mv	AT nobuyukiyoshioka solvingquasiparticlebandspectraofrealsolidsusingneuralnetworkquantumstates AT watarumizukami solvingquasiparticlebandspectraofrealsolidsusingneuralnetworkquantumstates AT franconori solvingquasiparticlebandspectraofrealsolidsusingneuralnetworkquantumstates
_version_	1718385603984228352

Solving quasiparticle band spectra of real solids using neural-network quantum states

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