From 8a24db0901bfe5a118193f22f30b5421f335e722 Mon Sep 17 00:00:00 2001 From: weipengOO98 Date: Sun, 4 Sep 2022 13:10:19 +0800 Subject: [PATCH] PINN for FP equation --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 24e713c..3acfbd1 100644 --- a/README.md +++ b/README.md @@ -114,6 +114,7 @@ A [script](./ref_convert.py) for converting bibtex to the markdown used in this 3. **Physics-Informed Neural Networks for AC Optimal Power Flow**, *Rahul Nellikkath, Spyros Chatzivasileiadis*, Electric Power Systems Research, 2022. [[paper](https://doi.org/10.1016/j.epsr.2022.108412)] 4. **Physics-informed neural networks for the shallow-water equations on the sphere**, *Alex Bihlo, Roman O.Popovych*, Journal of Computational Physics, 2022. [[paper](https://doi.org/10.1016/j.jcp.2022.111024)] 5. **A Physics-Informed Machine Learning Approach for Estimating Lithium-Ion Battery Temperature**, *Gyouho Cho, Mengqi Wang, Youngki Kim, Jaerock Kwon, Wencong Su*, IEEE Access, 2022. [[paper](https://ieeexplore.ieee.org/document/9858911/)] +1. **Physically guided deep learning solver for time-dependent Fokker–Planck equation**, *Yang Zhang, Ka-Veng Yuen*, International Journal of Non-Linear Mechanics, 2022. [[paper](https://www.sciencedirect.com/science/article/pii/S0020746222001792)] ## Papers on PINN Analysis 1. **Estimates on the generalization error of physics-informed neural networks for approximating a class of inverse problems for PDEs**, *Siddhartha Mishra, Roberto Molinaro*, IMA Journal of Numerical Analysis, 2021. [[paper](https://academic.oup.com/imajna/advance-article-abstract/doi/10.1093/imanum/drab032/6297946)]