199 related articles for article (PubMed ID: 36904994)
21. Physics-informed neural wavefields with Gabor basis functions.
Alkhalifah T; Huang X
Neural Netw; 2024 Jul; 175():106286. PubMed ID: 38640697
[TBL] [Abstract][Full Text] [Related]
22. Physics-informed neural networks based on adaptive weighted loss functions for Hamilton-Jacobi equations.
Liu Y; Cai L; Chen Y; Wang B
Math Biosci Eng; 2022 Sep; 19(12):12866-12896. PubMed ID: 36654026
[TBL] [Abstract][Full Text] [Related]
23. Enforcing Dirichlet boundary conditions in physics-informed neural networks and variational physics-informed neural networks.
Berrone S; Canuto C; Pintore M; Sukumar N
Heliyon; 2023 Aug; 9(8):e18820. PubMed ID: 37600384
[TBL] [Abstract][Full Text] [Related]
24. Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool.
Mukhmetov O; Zhao Y; Mashekova A; Zarikas V; Ng EYK; Aidossov N
Comput Methods Programs Biomed; 2023 Dec; 242():107834. PubMed ID: 37852143
[TBL] [Abstract][Full Text] [Related]
25. Material Data Identification in an Induction Hardening Test Rig with Physics-Informed Neural Networks.
Asadzadeh MZ; Roppert K; Raninger P
Materials (Basel); 2023 Jul; 16(14):. PubMed ID: 37512288
[TBL] [Abstract][Full Text] [Related]
26. Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems.
Wu D; Lisser A
Neural Netw; 2023 Nov; 168():419-430. PubMed ID: 37804745
[TBL] [Abstract][Full Text] [Related]
27. Quantifying local and global mass balance errors in physics-informed neural networks.
Mamud ML; Mudunuru MK; Karra S; Ahmmed B
Sci Rep; 2024 Jul; 14(1):15541. PubMed ID: 38969678
[TBL] [Abstract][Full Text] [Related]
28. Rotating Disk Electrodes beyond the Levich Approximation: Physics-Informed Neural Networks Reveal and Quantify Edge Effects.
Chen H; Kätelhön E; Compton RG
Anal Chem; 2023 Aug; 95(34):12826-12834. PubMed ID: 37590478
[TBL] [Abstract][Full Text] [Related]
29. A Second-Order Network Structure Based on Gradient-Enhanced Physics-Informed Neural Networks for Solving Parabolic Partial Differential Equations.
Sun K; Feng X
Entropy (Basel); 2023 Apr; 25(4):. PubMed ID: 37190465
[TBL] [Abstract][Full Text] [Related]
30. Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios.
Wong HS; Chan WX; Li BH; Yap CH
Sci Rep; 2024 May; 14(1):11577. PubMed ID: 38773243
[TBL] [Abstract][Full Text] [Related]
31. Solving the non-local Fokker-Planck equations by deep learning.
Jiang S; Li X
Chaos; 2023 Apr; 33(4):. PubMed ID: 37097949
[TBL] [Abstract][Full Text] [Related]
32. Recipes for when physics fails: recovering robust learning of physics informed neural networks.
Bajaj C; McLennan L; Andeen T; Roy A
Mach Learn Sci Technol; 2023 Mar; 4(1):015013. PubMed ID: 37680302
[TBL] [Abstract][Full Text] [Related]
33. Spatial domain decomposition-based physics-informed neural networks for practical acoustic propagation estimation under ocean dynamics.
Duan J; Zhao H; Song J
J Acoust Soc Am; 2024 May; 155(5):3306-3321. PubMed ID: 38752840
[TBL] [Abstract][Full Text] [Related]
34. Tackling the curse of dimensionality with physics-informed neural networks.
Hu Z; Shukla K; Karniadakis GE; Kawaguchi K
Neural Netw; 2024 Aug; 176():106369. PubMed ID: 38754287
[TBL] [Abstract][Full Text] [Related]
35. Physics informed neural network for charged particles surrounded by conductive boundaries.
Hafezianzade F; Biagooi M; Oskoee SN
Sci Rep; 2023 Aug; 13(1):14072. PubMed ID: 37640744
[TBL] [Abstract][Full Text] [Related]
36. The monotone traveling wave solution of a bistable three-species competition system via unconstrained neural networks.
Cho SW; Hwang S; Hwang HJ
Math Biosci Eng; 2023 Feb; 20(4):7154-7170. PubMed ID: 37161145
[TBL] [Abstract][Full Text] [Related]
37. The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers?
Markidis S
Front Big Data; 2021; 4():669097. PubMed ID: 34870188
[TBL] [Abstract][Full Text] [Related]
38. Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients.
Prantikos K; Chatzidakis S; Tsoukalas LH; Heifetz A
Sci Rep; 2023 Oct; 13(1):16840. PubMed ID: 37803015
[TBL] [Abstract][Full Text] [Related]
39. Identifying constitutive parameters for complex hyperelastic materials using physics-informed neural networks.
Song S; Jin H
Soft Matter; 2024 Jul; ():. PubMed ID: 38954481
[TBL] [Abstract][Full Text] [Related]
40. Physics-informed kernel function neural networks for solving partial differential equations.
Fu Z; Xu W; Liu S
Neural Netw; 2024 Apr; 172():106098. PubMed ID: 38199153
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
