Physics-informed neural network modeling of li-ion batteries: preprint / Malik Hassanaly [and five others].

Author/creator Hassanaly, Malik author.
Other author National Renewable Energy Laboratory (U.S.), issuing body.
Other author University of Colorado.
Format Electronic
PublicationGolden, CO : National Renewable Energy Laboratory, 2022.
Description1 online resource (2 pages) : color illustrations.
Supplemental Contenthttps://purl.fdlp.gov/GPO/gpo254340
Supplemental ContentAddress at time of PURL creation
Subjects

SeriesNREL/CP ; 2C00-82015
Conference paper (National Renewable Energy Laboratory (U.S.)) ; 2C00-82015. http://id.loc.gov/authorities/names/no2007111845 ^A755847
General note"August 2022."
General note"Presented at the 242nd Electrochemical Society Meeting Atlanta, Georgia October 9-13, 2022"--Cover.
General noteThis is a publication issued by the United States federal government or produced with federal funds.
General noteIn scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP) distribution.
Funding informationDE-AC36-08GO28308
Source of descriptionDescription based on online resource; title from PDF title page (NLR, viewed March 27, 2026).
Genre/formConference papers and proceedings.
GPO item number0430-P-04 (online)
Govt. docs number E 9.17:NREL/CP 2 C 00-82015

Availability

Library Location Call Number Status Item Actions
Electronic Resources ✔ Available