A

Deep NURBS—admissible physics-informed neural networks

Engineering With Computers, vol. 40, pp. 4007–4021

Authors 2

  1. University of Nottingham

    Affiliation as printed

    School of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2RD, UK

  2. RWTH Aachen University · King Abdullah University of Science and Technology

    Affiliation as printed

    Alexander von Humboldt Professor in Mathematics for Uncertainty Quantification, RWTH Aachen University, Aachen, Germany

    Department of Mathematics, RWTH Aachen University, Gebäude-1953 1.OG, Pontdriesch 14-16, 161, 52062, Aachen, Germany

    King Abdullah University of Science & Technology (KAUST), Computer, Electrical and Mathematical Sciences & Engineering Division (CEMSE), Thuwal, 23955-6900, Saudi Arabia

Cited by 5 stored of 5

5 results

No patents citing this paper on Lens.org (checked 2026-10-06).

References 34