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035 a| (OCoLC)1407146427;

049 a| ERE#;

074 a| 0430-P-17 (online);

086 0 a| E 9.28:NREL/PO-5000-82758;

100 1 a| Vijayakumar, Ganesh,e| author.1| https://id.oclc.org/worldcat/entity/E39PCjwQgBr33FyVtdwggv8PV3;

245 10 a| Enabling innovation in wind turbine design using artificial intelligence /c| Ganesh Vijayakumar [and ten others].;

264 1 a| [Golden, Colo.] :b| NREL,c| 2022.;

300 a| 1 online resource (1 unnumbered page) :b| color illustrations.;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

490 1 a| NREL/PO ;v| 5000-82758;

500 a| "ARPA-E Summit, Denver, CO, 23-25 May, 2022.";

500 a| This is a publication issued by the United States federal government or produced with federal funds.;

500 a| In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).;

536 a| U.S. Department of Energy (DOE)b| DE-AC36-08GO28308;

588 a| Description based on online resource; title from PDF caption (NREL, viewed September 10, 2025).;

650 0 a| Wind turbinesx| Rotorsx| Design and construction.;

650 0 a| Aerospace engineeringx| Research.;

650 0 a| Aerodynamicsx| Research.;

650 0 a| Computational fluid dynamics.;

650 0 a| Fluid dynamicsx| Mathematical models.;

710 2 a| National Renewable Energy Laboratory (U.S.),e| issuing body.;

830 0 a| NREL/PO ;v| 5000-82758.;

856 40 u| https://purl.fdlp.gov/GPO/gpo2483367| 0;

856 4 z| Address at time of PURL creationu| https://www.nrel.gov/docs/fy22osti/82758.pdf;

949 a| Click on web addressw| asish| joyner94o| jjlm;

994 a| C0b| GPO;

922 a| DOCDISCOVERYb| 20260303;

955 a| bc107 20260303b| 20260303;

596 a| 1;

998 a| 6722451;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6722451-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 4/28/2026x| EDOCUMENTz| JERESOURCEo| .STAFF. jjlm;

Enabling innovation in wind turbine design using artificial intelligence / Ganesh Vijayakumar [and ten others].

Author/creator	Vijayakumar, Ganesh author.
Other author	National Renewable Energy Laboratory (U.S.), issuing body.
Format	Electronic
Publication	[Golden, Colo.] : NREL, 2022.
Description	1 online resource (1 unnumbered page) : color illustrations.
Supplemental Content	https://purl.fdlp.gov/GPO/gpo248336
Supplemental Content	Address at time of PURL creation
Subjects	Wind turbines--Rotors. --Design and construction. Aerospace engineering--Research. Aerodynamics--Research. Computational fluid dynamics. Fluid dynamics--Mathematical models.

Series	NREL/PO ; 5000-82758 NREL/PO ; 5000-82758.
General note	"ARPA-E Summit, Denver, CO, 23-25 May, 2022."
General note	This is a publication issued by the United States federal government or produced with federal funds.
General note	In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).
Funding information	U.S. Department of Energy (DOE) DE-AC36-08GO28308
Source of description	Description based on online resource; title from PDF caption (NREL, viewed September 10, 2025).
GPO item number	0430-P-17 (online)
Govt. docs number	E 9.28:NREL/PO-5000-82758

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