Results 41 to 50 of about 266 (99)

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

A neural network-based PDE solving algorithm with high precision. [PDF]

Sci Rep, 2023
Jiang Z, Jiang J, Yao Q, Yang G.
europepmc   +1 more source

Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks. [PDF]

KDD
Liu Z, Wang X, Wang B, Huang Z, Yang C, Jin W.   +5 more
europepmc   +1 more source

Analytical insights and physical behavior of solitons in the fractional stochastic Allen-Cahn equations using a novel method. [PDF]

Sci Rep
Nazari-Golshan A.
europepmc   +1 more source

Partial differential equations in data science. [PDF]

Philos Trans A Math Phys Eng Sci
Bertozzi AL, Drenska N, Latz J, Thorpe M.   +3 more
europepmc   +1 more source

Optical neural engine for solving scientific partial differential equations. [PDF]

Nat Commun
Tang Y, Chen R, Lou M, Fan J, Yu C, Nonaka A, Yao Z, Gao W.   +7 more
europepmc   +1 more source

Simple Equations Method (SEsM): An Effective Algorithm for Obtaining Exact Solutions of Nonlinear Differential Equations. [PDF]

Entropy (Basel), 2022
Vitanov NK.
europepmc   +1 more source

Learning image derived PDE-phenotypes from fMRI data. [PDF]

Brain Inform
Bica I, Trang R, Hu R, Su W, Zhai Z, Zhang Q.   +5 more
europepmc   +1 more source

Nonlinear kinematic impacts on nanofluid flow across rough surface with numerical simulation. [PDF]

Sci Rep
Khan A, Khan DN, Zubair M, Karim M, Khan A, Hashim, Ahmad H, Abd-Elmonem A, Abulhassan MEE.   +8 more
europepmc   +1 more source

AI-powered prediction of hybrid nanofluid dynamics over a cylinder via LM optimized neural network approach. [PDF]

Sci Rep
Imran M, Jia W, Saeed ST, Younis J, Qayyum M, Almehizia AA.   +5 more
europepmc   +1 more source