article·Machine learning for computational science and engineering·Mar 11, 2025Closed access

From PINNs to PIKANs: recent advances in physics-informed machine learning

JDJuan Diego ToscanoCorresponding authorVOVivek OommenAJAlan John VargheseZZZongren ZouNANazanin Ahmadi Daryakenari

Brown University

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

152
total citations
FWCI
159.13
Percentile
100%
References
346
Citations per year

Authors

7
  • JD
    Juan Diego ToscanoCorresponding

    Brown University

  • VO
    Vivek Oommen

    Brown University

  • AJ
    Alan John Varghese

    Brown University

  • ZZ
    Zongren Zou

    Brown University

  • NA
    Nazanin Ahmadi Daryakenari

    Brown University

Topics & keywords

Topics
  • Primary topicModel Reduction and Neural Networks100%
  • Nuclear reactor physics and engineering98%
  • Computational Physics and Python Applications97%
Keywords
  • Computer science
No related works found for this paper.

Funding

  • UD
    U.S. Department of Defense
    Award: N00014-22-1- 2795
  • UD
    U.S. Department of Energy
    Award: DE- SC002319
  • NI
    National Institutes of Health
    Award: R01AT012312
  • AF
    Air Force Office of Scientific Research
    Award: FA9550-20-1-0358