Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data

Artificial intelligence and machine learning can greatly enhance materials property prediction and discovery. Here the authors propose cross-property transfer learning to build accurate models for dozens of properties with limited data availability.

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Autores principales:	Vishu Gupta, Kamal Choudhary, Francesca Tavazza, Carelyn Campbell, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/1fc51a9d7df942cc92802f6e2ff78dbe
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spelling	oai:doaj.org-article:1fc51a9d7df942cc92802f6e2ff78dbe2021-11-21T12:34:28ZCross-property deep transfer learning framework for enhanced predictive analytics on small materials data10.1038/s41467-021-26921-52041-1723https://doaj.org/article/1fc51a9d7df942cc92802f6e2ff78dbe2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26921-5https://doaj.org/toc/2041-1723Artificial intelligence and machine learning can greatly enhance materials property prediction and discovery. Here the authors propose cross-property transfer learning to build accurate models for dozens of properties with limited data availability.Vishu GuptaKamal ChoudharyFrancesca TavazzaCarelyn CampbellWei-keng LiaoAlok ChoudharyAnkit AgrawalNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Vishu Gupta Kamal Choudhary Francesca Tavazza Carelyn Campbell Wei-keng Liao Alok Choudhary Ankit Agrawal Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data
description	Artificial intelligence and machine learning can greatly enhance materials property prediction and discovery. Here the authors propose cross-property transfer learning to build accurate models for dozens of properties with limited data availability.
format	article
author	Vishu Gupta Kamal Choudhary Francesca Tavazza Carelyn Campbell Wei-keng Liao Alok Choudhary Ankit Agrawal
author_facet	Vishu Gupta Kamal Choudhary Francesca Tavazza Carelyn Campbell Wei-keng Liao Alok Choudhary Ankit Agrawal
author_sort	Vishu Gupta
title	Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data
title_short	Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data
title_full	Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data
title_fullStr	Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data
title_full_unstemmed	Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data
title_sort	cross-property deep transfer learning framework for enhanced predictive analytics on small materials data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1fc51a9d7df942cc92802f6e2ff78dbe
work_keys_str_mv	AT vishugupta crosspropertydeeptransferlearningframeworkforenhancedpredictiveanalyticsonsmallmaterialsdata AT kamalchoudhary crosspropertydeeptransferlearningframeworkforenhancedpredictiveanalyticsonsmallmaterialsdata AT francescatavazza crosspropertydeeptransferlearningframeworkforenhancedpredictiveanalyticsonsmallmaterialsdata AT carelyncampbell crosspropertydeeptransferlearningframeworkforenhancedpredictiveanalyticsonsmallmaterialsdata AT weikengliao crosspropertydeeptransferlearningframeworkforenhancedpredictiveanalyticsonsmallmaterialsdata AT alokchoudhary crosspropertydeeptransferlearningframeworkforenhancedpredictiveanalyticsonsmallmaterialsdata AT ankitagrawal crosspropertydeeptransferlearningframeworkforenhancedpredictiveanalyticsonsmallmaterialsdata
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Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data

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