These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
193 related articles for article (PubMed ID: 35719066)
1. GFINNs: GENERIC formalism informed neural networks for deterministic and stochastic dynamical systems. Zhang Z; Shin Y; Em Karniadakis G Philos Trans A Math Phys Eng Sci; 2022 Aug; 380(2229):20210207. PubMed ID: 35719066 [TBL] [Abstract][Full Text] [Related]
8. Can a computer "learn" nonlinear chromatography?: Physics-based deep neural networks for simulation and optimization of chromatographic processes. Subraveti SG; Li Z; Prasad V; Rajendran A J Chromatogr A; 2022 Jun; 1672():463037. PubMed ID: 35462309 [TBL] [Abstract][Full Text] [Related]
9. Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems. Saha P; Dash S; Mukhopadhyay S Neural Netw; 2021 Dec; 144():359-371. PubMed ID: 34547672 [TBL] [Abstract][Full Text] [Related]
11. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction. Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253 [TBL] [Abstract][Full Text] [Related]
12. Operator learning for urban water clarification hydrodynamics and particulate matter transport with physics-informed neural networks. Li H; Shatarah M Water Res; 2024 Mar; 251():121123. PubMed ID: 38241806 [TBL] [Abstract][Full Text] [Related]
13. Learning epidemic threshold in complex networks by Convolutional Neural Network. Ni Q; Kang J; Tang M; Liu Y; Zou Y Chaos; 2019 Nov; 29(11):113106. PubMed ID: 31779342 [TBL] [Abstract][Full Text] [Related]
14. Invertible generalized synchronization: A putative mechanism for implicit learning in neural systems. Lu Z; Bassett DS Chaos; 2020 Jun; 30(6):063133. PubMed ID: 32611103 [TBL] [Abstract][Full Text] [Related]
15. Weather forecasting based on data-driven and physics-informed reservoir computing models. Mammedov YD; Olugu EU; Farah GA Environ Sci Pollut Res Int; 2022 Apr; 29(16):24131-24144. PubMed ID: 34825327 [TBL] [Abstract][Full Text] [Related]
16. AI-Aristotle: A physics-informed framework for systems biology gray-box identification. Ahmadi Daryakenari N; De Florio M; Shukla K; Karniadakis GE PLoS Comput Biol; 2024 Mar; 20(3):e1011916. PubMed ID: 38470870 [TBL] [Abstract][Full Text] [Related]
17. Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction. Meng Y; Rigall E; Chen X; Gao F; Dong J; Chen S IEEE Trans Neural Netw Learn Syst; 2023 Jul; 34(7):3357-3370. PubMed ID: 34757914 [TBL] [Abstract][Full Text] [Related]
18. Multi-fidelity information fusion with concatenated neural networks. Pawar S; San O; Vedula P; Rasheed A; Kvamsdal T Sci Rep; 2022 Apr; 12(1):5900. PubMed ID: 35393511 [TBL] [Abstract][Full Text] [Related]
19. Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. Kim S; Lu PY; Mukherjee S; Gilbert M; Jing L; Ceperic V; Soljacic M IEEE Trans Neural Netw Learn Syst; 2021 Sep; 32(9):4166-4177. PubMed ID: 32857704 [TBL] [Abstract][Full Text] [Related]