158 related articles for article (PubMed ID: 36805280)
1. Physics-informed neural entangled-ladder network for inhalation impedance of the respiratory system.
Kumar AK; Jain S; Jain S; Ritam M; Xia Y; Chandra R
Comput Methods Programs Biomed; 2023 Apr; 231():107421. PubMed ID: 36805280
[TBL] [Abstract][Full Text] [Related]
2. Error estimates and physics informed augmentation of neural networks for thermally coupled incompressible Navier Stokes equations.
Goraya S; Sobh N; Masud A
Comput Mech; 2023 Aug; 72(2):267-289. PubMed ID: 37583614
[TBL] [Abstract][Full Text] [Related]
3. Physics-informed attention-based neural network for hyperbolic partial differential equations: application to the Buckley-Leverett problem.
Rodriguez-Torrado R; Ruiz P; Cueto-Felgueroso L; Green MC; Friesen T; Matringe S; Togelius J
Sci Rep; 2022 May; 12(1):7557. PubMed ID: 35534639
[TBL] [Abstract][Full Text] [Related]
4. Physics-informed neural networks for one-dimensional sound field predictions with parameterized sources and impedance boundaries.
Borrel-Jensen N; Engsig-Karup AP; Jeong CH
JASA Express Lett; 2021 Dec; 1(12):122402. PubMed ID: 36154380
[TBL] [Abstract][Full Text] [Related]
5. Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor.
Tarkhov D; Lazovskaya T; Malykhina G
Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679461
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks.
Gnanasambandam R; Shen B; Chung J; Yue X; Kong Z
IEEE Trans Pattern Anal Mach Intell; 2023 Dec; 45(12):15588-15603. PubMed ID: 37610913
[TBL] [Abstract][Full Text] [Related]
9. Estimation of respiratory impedance at low frequencies during spontaneous breathing using the forced oscillation technique.
Maes H; Vandersteen G; Ionescu C
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3410-3. PubMed ID: 25570723
[TBL] [Abstract][Full Text] [Related]
10. On acoustic fields of complex scatters based on physics-informed neural networks.
Wang H; Li J; Wang L; Liang L; Zeng Z; Liu Y
Ultrasonics; 2023 Feb; 128():106872. PubMed ID: 36323059
[TBL] [Abstract][Full Text] [Related]
11. nn-PINNs: Non-Newtonian physics-informed neural networks for complex fluid modeling.
Mahmoudabadbozchelou M; Karniadakis GE; Jamali S
Soft Matter; 2021 Dec; 18(1):172-185. PubMed ID: 34859251
[TBL] [Abstract][Full Text] [Related]
12. Non-invasive Inference of Thrombus Material Properties with Physics-Informed Neural Networks.
Yin M; Zheng X; Humphrey JD; Em Karniadakis G
Comput Methods Appl Mech Eng; 2021 Mar; 375():. PubMed ID: 33414569
[TBL] [Abstract][Full Text] [Related]
13. Physics-Informed Neural Networks Integrating Compartmental Model for Analyzing COVID-19 Transmission Dynamics.
Ning X; Guan J; Li XA; Wei Y; Chen F
Viruses; 2023 Aug; 15(8):. PubMed ID: 37632091
[TBL] [Abstract][Full Text] [Related]
14. Physics-informed neural networks for transcranial ultrasound wave propagation.
Wang L; Wang H; Liang L; Li J; Zeng Z; Liu Y
Ultrasonics; 2023 Jul; 132():107026. PubMed ID: 37137219
[TBL] [Abstract][Full Text] [Related]
15. Gradient Statistics-Based Multi-Objective Optimization in Physics-Informed Neural Networks.
Vemuri SK; Denzler J
Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960365
[TBL] [Abstract][Full Text] [Related]
16. Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity.
Roy AM; Bose R; Sundararaghavan V; Arróyave R
Neural Netw; 2023 May; 162():472-489. PubMed ID: 36966712
[TBL] [Abstract][Full Text] [Related]
17. A Combination of Deep Neural Networks and Physics to Solve the Inverse Problem of Burger's Equation.
Alkhadhr S; Almekkawy M
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():4465-4468. PubMed ID: 34892210
[TBL] [Abstract][Full Text] [Related]
18. A Compact Memristor Model Based on Physics-Informed Neural Networks.
Lee Y; Kim K; Lee J
Micromachines (Basel); 2024 Feb; 15(2):. PubMed ID: 38398981
[TBL] [Abstract][Full Text] [Related]
19. EP-PINNs: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks.
Herrero Martin C; Oved A; Chowdhury RA; Ullmann E; Peters NS; Bharath AA; Varela M
Front Cardiovasc Med; 2021; 8():768419. PubMed ID: 35187101
[TBL] [Abstract][Full Text] [Related]
20. Affine transformations accelerate the training of physics-informed neural networks of a one-dimensional consolidation problem.
Mandl L; Mielke A; Seyedpour SM; Ricken T
Sci Rep; 2023 Sep; 13(1):15566. PubMed ID: 37730743
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
