Gradient-Driven Physics Informed Neural Networks for Conduction Heat Transfer and Incompressible Laminar Flow. [PDF]
Lu T +5 more
europepmc +1 more source
Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network. [PDF]
Mehtaj N, Banerjee S.
europepmc +1 more source
Fast electromagnetic field simulation using a current-density- based physics-informed neural network. [PDF]
Gao Z +5 more
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]
Roy T +4 more
europepmc +1 more source
New modifications of ADM with applications in kind of PDEs. [PDF]
Nemah EM, Jaddoa AF, Ghazi FF.
europepmc +1 more source
One-shot learning for solution operators of partial differential equations. [PDF]
Jiao A, He H, Ranade R, Pathak J, Lu L.
europepmc +1 more source
A collage-based approach to solving inverse problems for second-order nonlinear hyperbolic PDEs
Kimberly M. Levere +2 more
openalex +2 more sources
Exploring the exact solutions to the nonlinear systems with neural networks method. [PDF]
Muhammad J +3 more
europepmc +1 more source
Time fractional modeling of MHD natural convection flow between parallel plates via caputo-fabrizio integral. [PDF]
Masood K.
europepmc +1 more source
Machine learning investigation of marangoni convection in hybrid nanofluids with Darcy-Forchheimer. [PDF]
Qureshi H, Altmeyer S, Zubair M.
europepmc +1 more source

