CFD Vision 2030 Roadmap: Progress and Perspectives

TY - GEN

T1 - CFD Vision 2030 Roadmap

T2 - AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2021

AU - Cary, Andrew W.

AU - Chawner, John R.

AU - Duque, Earl P.N.

AU - Gropp, William

AU - Kleb, Bil

AU - Kolonay, Ray

AU - Nielsen, Eric

AU - Smith, Brian

N1 - Funding Information: As part of gathering the progress and refining assessments and additional needs, the authors received feedback from a wide variety of individuals, including M.S. Anand (Rolls-Royce), Anirban Chaudhuri (University of Texas at Austin), Daniel Clark (AFRL), Clifton Davies (Lockheed Martin), Boris Diskin (NIA), Edwin Forster (AFRL), John Gallman (Northrop Grumman), Ramana Grandhi (Air Force Institute of Technology), Justin Gray (NASA), Jim Guglielmo (The Boeing Company), George Huang (Wright-State University), Kenneth Jansen (University of Colorado), Dmitry Kamenetskiy (The Boeing company), Stephen de Bruyn Kops (University of Massachusetts), Steve M. Legensky (Intelligent Light), Joaquim Martins (University of Michigan), Mory Mani (The Boeing Company, retired), Dimitri Mavriplis (University of Wyoming), David McLaurin (Siemens Digital Industries Software), Jeffrey Moder (NASA Glenn Research Center), Hiro Nishikawa (NIA), Michael A. Park (Computational AeroSciences Branch, NASA Langley Research Center), Chris Rumsey (Computational AeroSciences Branch, NASA Langley Research Center), Scott Sellers (The Boeing Company), Jeff Slotnick (The Boeing Company), Nagendra Somanath (Pratt & Whitney), Philippe Spalart (The Boeing Company, retired), Bret Stanford (NASA), Marc Stelmack (Lockheed Martin), Nigel Taylor (MBDA UK Ltd), Nick Wyman (Pointwise), Karen Wilcox (University of Texas at Austin), and PK Yeung (Georgia Institute of Technology). Your contributions and considerations are very much appreciated. Funding Information: Finally, as noted earlier, the revolutionary systems timeline is intended to monitor developments in game-changing hardware technologies, which may hold the potential to bring disruptive change across the fields of science and engineering. The field of quantum computing holds the promise of radically more efficient computation enabled by basic physical properties of quantum physics. Basic research has led to tremendous strides in this field in recent years and large efforts are actively funded by the Department of Energy, the Department of Defense, and the National Science Foundation, among others in the United States, as well as private industry and other nations around the world. NASA has long sponsored the Quantum Artificial Intelligence Laboratory, or QuAIL, project at the NASA Ames Research Center. Recent examples of quantum computing applications include linear algebra, machine learning, differential equations, hybrid approaches combining quantum computing with classical HPC, and recent research simulating quantum computation of a Poisson solver as applied to CFD [27]. Maturing the use of this technology for CFD will hinge on increased interactions between aerospace scientists and engineers and quantum computing researchers.

PY - 2021

Y1 - 2021

UR - http://www.scopus.com/inward/record.url?scp=85123614497&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85123614497&partnerID=8YFLogxK

U2 - 10.2514/6.2021-2726

DO - 10.2514/6.2021-2726

M3 - Conference contribution

AN - SCOPUS:85123614497

SN - 9781624106101

T3 - AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2021

BT - AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2021

PB - American Institute of Aeronautics and Astronautics Inc, AIAA

Y2 - 2 August 2021 through 6 August 2021

ER -