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1

Solving ordinary differential equation using artificial neural network.
Solikhin, Mukhammad ; Ro'uf, Ikhsan Abdul
AIP Conference Proceedings; 2025, Vol. 3446 Issue 1, p1-7, 7p

ORDINARY differential eq... ARTIFICIAL neural networ... MATHEMATICAL models DEEP learning PREDICTION models MACHINE learning
*Conference*
2

Introducing students to research codes: A short course on solving partial differential equations in Python.
Inguva, Pavan ; Bhute, Vijesh J. ; Cheng, Thomas N.H. ; et al.
Education for Chemical Engineers. Jul2021, Vol. 36, p1-11. 11p.

Student research Focus groups Student engagement Numerical analysis Python programming langu...
*Academic Journal*
3

A Comparative Study of Hybrid Analytical and Laplace Transform Approaches for Solving Partial Differential Equations in Python.
Jalili, P. ; Mahboob, M. ; Shateri, A. ; et al.
International Journal of Engineering Transactions B: Applications; Feb2024, Vol. 37 Issue 2, p352-364, 13p

LAPLACE transformation NONLINEAR differential e... PARTIAL differential equ... DISCRETIZATION methods WAVE equation NONLINEAR equations
*Academic Journal*
4

DeepXDE: A Deep Learning Library for Solving Differential Equations.
Lu Lu ; Xuhui Meng ; Zhiping Mao ; et al.
SIAM Review; 2021, Vol. 63 Issue 1, p208-227, 21p

DIFFERENTIAL equations INVERSE problems PARTIAL differential equ... INTEGRO-differential equ... AUTOMATIC differentiatio... PYTHON programming langu...
*Academic Journal*
5

NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators.
Zongren Zou ; Xuhui Meng ; Psaros, Apostolos F. ; et al.
SIAM Review; Feb2024, Vol. 66 Issue 1, p161-190, 30p

ARTIFICIAL neural networ... MACHINE learning DIFFERENTIAL operators OPERATOR equations SCIENCE education PYTHON programming langu...
*Academic Journal*
6

Computing all persistent subspaces of a reaction-diffusion system.
Peter, Stephan ; Woitke, Linus ; Dittrich, Peter ; et al.
Scientific Reports; 11/20/2023, Vol. 13 Issue 1, p1-18, 18p

PARTIAL differential equ... PYTHON programming langu... LINEAR programming DATABASES SOURCE code
*Academic Journal*
7

Higher Order Numerical Discretization Methods with Sobolev Norm Minimization
Chandrasekaran, S. ; Jayaraman, K.R. ; Gu, M. ; et al.
Procedia Computer Science. Sep2011, Vol. 4, p206-215. 10p.

Numerical solutions to p... Numerical analysis softw... Sobolev spaces Linear operators Differential operators Integral operators
*Academic Journal*
8

PyAlbany: A Python interface to the C++ multiphysics solver Albany.
Liegeois, Kim ; Perego, Mauro ; Hartland, Tucker
Journal of Computational & Applied Mathematics. Jun2023, Vol. 425, pN.PAG-N.PAG. 1p.

PYTHON programming langu... C++ PARTIAL differential equ... INVERSE problems BAYESIAN field theory FREE convection
*Academic Journal*
9

JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science.
Xue, Tianju ; Liao, Shuheng ; Gan, Zhengtao ; et al.
Computer Physics Communications. Oct2023, Vol. 291, pN.PAG-N.PAG. 1p.

DATA science AUTOMATIC differentiatio... PYTHON programming langu... GRAPHICS processing unit... FINITE element method COMPUTATIONAL mechanics
*Periodical*
10

ExaHyPE: An engine for parallel dynamically adaptive simulations of wave problems.
Reinarz, Anne ; Charrier, Dominic E. ; Bader, Michael ; et al.
Computer Physics Communications. Sep2020, Vol. 254, pN.PAG-N.PAG. 1p.

PYTHON programming langu... HYPERBOLIC differential... CONSERVATION laws (Physi... PARTIAL differential equ... PROGRAMMING languages SHOCK waves
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