JOURNAL ARTICLE

Analysis of the physics-informed neural network approach to solving ordinary differential equations

I. V. KonyukhovI. V. KonyukhovArtem A. ChernitsaAshera Dyussenova

Year: 2024 Journal:   Computer Research and Modeling Vol: 16 (7)Pages: 1621-1636   Publisher: Institute of Computer Science
Keywords:
Artificial neural network Ordinary differential equation Differential equation Computer science Applied mathematics Physics Calculus (dental) Mathematics Artificial intelligence Mathematical analysis Medicine

Metrics

2
Cited By
1.08
FWCI (Field Weighted Citation Impact)
0
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Model Reduction and Neural Networks
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Stochastic physics-informed neural ordinary differential equations

Jared O’LearyJoel A. PaulsonAli Mesbah

Journal:   Journal of Computational Physics Year: 2022 Vol: 468 Pages: 111466-111466
JOURNAL ARTICLE

A tutorial on solving ordinary differential equations using Python and hybrid physics-informed neural network

Renato G. NascimentoKajetan FrickeFelipe Viana

Journal:   Engineering Applications of Artificial Intelligence Year: 2020 Vol: 96 Pages: 103996-103996
JOURNAL ARTICLE

Neural Network for Solving Ordinary Differential Equations

Wengyao JiangXuan Chen

Journal:   2022 14th International Conference on Computational Intelligence and Communication Networks (CICN) Year: 2022 Pages: 261-265
© 2026 ScienceGate Book Chapters — All rights reserved.