Results 151 to 160 of about 35,710 (245)

Information-distilled physics informed deep learning for high order differential inverse problems with extreme discontinuities. [PDF]

Commun Eng
Peng M, Tang H.
europepmc   +1 more source

UEG Week 2025 Poster Presentations

United European Gastroenterology Journal, Volume 13, Issue S8, Page S803-S1476, October 2025.
wiley   +1 more source

Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series. [PDF]

Entropy (Basel)
Mortezanejad SAF, Wang R, Mohammad-Djafari A.   +2 more
europepmc   +1 more source

DGNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling [PDF]

Yaohua Zang, Phaedon‐Stelios Koutsourelakis   +1 more
openalex   +1 more source

Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network. [PDF]

Sensors (Basel)
Mehtaj N, Banerjee S.
europepmc   +1 more source

A penalty-free approach to PDE constrained optimization: application to an inverse wave problem

, 2021
Alexandre Hoffmann, Vadim Monteiller, Cédric Bellis   +2 more
openalex   +2 more sources

New modifications of ADM with applications in kind of PDEs. [PDF]

MethodsX
Nemah EM, Jaddoa AF, Ghazi FF.
europepmc   +1 more source

BIAN: A boundary-informed Alone Neural Network for solving PDE-constrained Inverse Problems [PDF]

Kaican Li
openalex   +1 more source

One-shot learning for solution operators of partial differential equations. [PDF]

Nat Commun
Jiao A, He H, Ranade R, Pathak J, Lu L.
europepmc   +1 more source

Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data

, 2022
Xü Liu, Wen Yao, Wei Peng, Weien Zhou
openalex   +2 more sources