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Inverse Design of Next-Generation Superconductors Using Dat..:
Wines, Daniel
;
Xie, Tian
;
Choudhary, Kamal
The Journal of Physical Chemistry Letters. 14 (2023) 29 - p. 6630-6638 , 2023
Link:
https://doi.org/10.1021/acs.jpclett.3c01260
RT Journal T1 <Title>Inverse Design of Next-Generation Superconductors Using Data-Driven Deep Generative Models</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jpclett.3c01260&Exemplar=1&LAN=DE A1 Wines, Daniel A1 Xie, Tian A1 Choudhary, Kamal PB American Chemical Society (ACS) YR 2023 SN 1948-7185 SN 1948-7185 JF The Journal of Physical Chemistry Letters VO 14 IS 29 SP 6630 OP 6638 LK http://dx.doi.org/https://doi.org/10.1021/acs.jpclett.3c01260 DO https://doi.org/10.1021/acs.jpclett.3c01260 SF ELIB - SuUB Bremen
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