Results 151 to 160 of about 37,100 (232)

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

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

Fast electromagnetic field simulation using a current-density- based physics-informed neural network. [PDF]

Sci Rep
Gao Z, Sun CA, Ma Z, Liu Z, Zhao L, Wang Q.   +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]

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

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

MethodsX
Nemah EM, Jaddoa AF, Ghazi FF.
europepmc   +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

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

Exploring the exact solutions to the nonlinear systems with neural networks method. [PDF]

Sci Rep
Muhammad J, Tedjani AH, Hussain E, Younas U.   +3 more
europepmc   +1 more source

Time fractional modeling of MHD natural convection flow between parallel plates via caputo-fabrizio integral. [PDF]

Sci Rep
Masood K.
europepmc   +1 more source

Machine learning investigation of marangoni convection in hybrid nanofluids with Darcy-Forchheimer. [PDF]

Sci Rep
Qureshi H, Altmeyer S, Zubair M.
europepmc   +1 more source