Results 161 to 170 of about 35,012 (233)

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

Unlearning Noise in PINNs: A Selective Pruning Framework for PDE Inverse Problems [PDF]

Yongsheng Chen, Yong Chen, Wei Guo, Xinghui Zhong   +3 more
openalex  

A Gauss-Newton Method with No Additional PDE Solves Beyond Gradient Evaluation for Large-Scale PDE-Constrained Inverse Problems

Cash Cherry, Samy Wu Fung, Luis Tenorio, Ebru Bozdağ   +3 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 collage-based approach to solving inverse problems for second-order nonlinear hyperbolic PDEs

, 2015
Kimberly M. Levere, Herb Kunze, Davide La Torre   +2 more
openalex   +2 more sources

Inf-sup stable space-time Local Discontinuous Galerkin method for the heat equation. [PDF]

J Sci Comput
Gómez S, Perinati C, Stocker P.
europepmc   +1 more source

Gradient-Driven Physics Informed Neural Networks for Conduction Heat Transfer and Incompressible Laminar Flow. [PDF]

J Comput Nonlinear Dyn
Lu T, Shahadat MRB, Liu Q, He R, Jiang X, Li Z.   +5 more
europepmc   +1 more source

Random Neural Networks for Rough Volatility. [PDF]

Appl Math Optim
Jacquier A, Žurič Ž.
europepmc   +1 more source

Assessment of Spatially-Varying Arterial Wall Stiffness and Pressure Using a Physics-Informed Neural Network and Pulse Wave Imaging: An in Silico and Experimental Phantom Study of Stenotic Vessels. [PDF]

Ultrasound Med Biol
Roy T, Kemper P, Mobadersany N, Shi H, Konofagou EE.   +4 more
europepmc   +1 more source

FEM-based discretization-invariant MCMC methods for PDE-constrained Bayesian inverse problems

, 2016
Tan Bui–Thanh, Quoc Phong Nguyen
openalex   +1 more source