تقرير
Physics-Informed Neural Networks for Multiphysics Coupling: Application to Conjugate Heat Transfer
| العنوان: | Physics-Informed Neural Networks for Multiphysics Coupling: Application to Conjugate Heat Transfer |
|---|---|
| المؤلفون: | Coulaud, Guillaume, Duvigneau, Régis |
| المساهمون: | Analysis and Control of Unsteady Models for Engineering Sciences (ACUMES), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Côte d'Azur, Inria, CNRS, LJAD |
| المصدر: | https://inria.hal.science/hal-04225990Test ; RR-9520, Université Côte d'Azur, Inria, CNRS, LJAD. 2023. |
| بيانات النشر: | HAL CCSD |
| سنة النشر: | 2023 |
| المجموعة: | HAL Université Côte d'Azur |
| مصطلحات موضوعية: | Physics-Informed Neural Networks, Multiphysics Coupling, Conjugate Heat Transfer, Deep Learning, Partial differential equations, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] |
| الوصف: | Physics-Informed Neural Networks (PINNs) have emerged as a promising paradigm for modeling complex physical phenomena, offering the potential to handle diverse scenarios to simulate coupled systems. This is a supervised or unsupervised deep learning approach that aims at learning physical laws described by partial differential equations. This report presents an exploration of PINNs through three distinct test cases: heat transfer, and conjugate heat transfer, with forced and natural convection. The investigations reveal PINNs' proficiency in accommodating parameterized resolution, addressing piece-wise constant conditions, and enabling multiphysics coupling. Despite their versatility, challenges emerged, including difficulties in achieving high accuracy, error propagation near singularities, and limitations in scenarios with high Rayleigh values. |
| نوع الوثيقة: | report |
| اللغة: | English |
| العلاقة: | Report N°: RR-9520; hal-04225990; https://inria.hal.science/hal-04225990Test; https://inria.hal.science/hal-04225990/documentTest; https://inria.hal.science/hal-04225990/file/RR-9520.pdfTest |
| الإتاحة: | https://inria.hal.science/hal-04225990Test https://inria.hal.science/hal-04225990/documentTest https://inria.hal.science/hal-04225990/file/RR-9520.pdfTest |
| حقوق: | http://hal.archives-ouvertes.fr/licences/publicDomainTest/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.4AB115E0 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |