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Discovering a reaction-diffusion model for Alzheimer's disease by
  combining PINNs with symbolic regression

Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression

16 July 2023
Zhen Zhang
Zongren Zou
E. Kuhl
George Karniadakis
ArXivPDFHTML

Papers citing "Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression"

7 / 7 papers shown
Title
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble
Zongren Zou
Zhicheng Wang
George Karniadakis
PINN
AI4CE
65
2
0
08 Mar 2025
Physics-informed deep learning for infectious disease forecasting
Physics-informed deep learning for infectious disease forecasting
Y. Qian
Éric Marty
Avranil Basu
Avranil Basu
Eamon B. O'Dea
Xianqiao Wang
Spencer Fox
Pejman Rohani
John M. Drake
He Li
PINN
AI4CE
78
2
0
16 Jan 2025
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
Vivek Oommen
Aniruddha Bora
Zhen Zhang
George Karniadakis
DiffM
45
13
0
13 Sep 2024
Accounting for plasticity: An extension of inelastic Constitutive
  Artificial Neural Networks
Accounting for plasticity: An extension of inelastic Constitutive Artificial Neural Networks
Birte Boes
Jaan-Willem Simon
H. Holthusen
AI4CE
30
6
0
27 Jul 2024
Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific
  Machine Learning Problems
Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems
Paula Chen
Tingwei Meng
Zongren Zou
Jérome Darbon
George Karniadakis
AI4CE
25
5
0
22 Mar 2023
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
170
755
0
13 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
1