polyG2G: A Novel Machine Learning Algorithm Applied to the Generative Design of Polymer Dielectrics

Gurnani, Rishi; Kamal, Deepak; Tran, Huan; Sahu, Harikrishna; Scharm, Kenny; Ashraf, Usman; Ramprasad, Rampi

doi:10.1021/acs.chemmater.1c02061

polyG2G: A Novel Machine Learning Algorithm Applied to the Generative Design of Polymer Dielectrics

Journal Article · 31 August 2021 · Chemistry of Materials

DOI:https://doi.org/10.1021/acs.chemmater.1c02061· OSTI ID:1851710

^[1]; ^[1]; ^[1]; ^[1]; Scharm, Kenny ^[2]; Ashraf, Usman ^[3]; ^[1]

School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
College of Computing, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

Not provided.

Research Organization:: Georgia Institute of Technology, Atlanta, GA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

DOE Contract Number:: SC0012577

OSTI ID:: 1851710

Journal Information:: Chemistry of Materials, Vol. 33, Issue 17; ISSN 0897-4756

Publisher:: American Chemical Society (ACS)

Country of Publication:: United States

Language:: English

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