One-shot heterogeneous transfer learning from calculated crystal structures to experimentally observed materials

Author:

Na Gyoung S.ORCID

Funder

Korea Research Institute of Chemical Technology

Publisher

Elsevier BV

Reference53 articles.

1. Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data;Gupta;Nature Commun.,2021

2. A public database of thermoelectric materials and system-identified material representation for data-driven discovery;Na;Npj Comput. Mater.,2022

3. Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning;Jha;Nature Commun.,2019

4. Predicting materials properties with little data using Shotgun transfer learning;Yamada;ACS Cent. Sci.,2019

5. A comprehensive survey on transfer learning;Zhuang;Proc. IEEE,2020

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