Zou, Zongren

1. A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
   2024/06/05 by Shukla, Khemraj, Toscano, Juan Diego, Wang, Zhicheng +2 · 28 citations
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
2. From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning
   2024/10/17 by Toscano, Juan Diego, Oommen, Vivek, Varghese, Alan John +4 · 33 citations
   #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
3. Correcting model misspecification in physics-informed neural networks (PINNs)
   2023/10/16 by Zou, Zongren, Meng, Xuhui, Karniadakis, George Em · 7 citations
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
4. Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators
   2023/11/19 by Zou, Zongren, Meng, Xuhui, Karniadakis, George Em · 7 citations
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
5. NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators
   2022/08/25 by Zou, Zongren, Meng, Xuhui, Psaros, Apostolos F +1 · 4 citations
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
6. Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression
   2023/07/16 by Zhen Zhang, Zongren Zou, Zhang, Zhen +5 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Bioinformatics and Genomic Networks #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #Topological and Geometric Data Analysis
7. Fast meta-solvers for 3D complex-shape scatterers using neural operators trained on a non-scattering problem
   2024/05/20 by Lee, Youngkyu, Zongren Zou, Liu, Shanqing +11 · 5 citations
   Engineering · Physics and Astronomy · #Microwave Imaging and Scattering Analysis #Electromagnetic Scattering and Analysis #Advanced SAR Imaging Techniques
8. NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements
   2024/07/30 by Khemraj Shukla, Zongren Zou, Shukla, Khemraj +9 · 3 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Neural Networks and Applications
9. L-HYDRA: Multi-Head Physics-Informed Neural Networks
   2023/01/05 by Zongren Zou, George Em Karniadakis, Zou, Zongren +1 · 2 citations
   Computer Science · Materials Science · Physics and Astronomy · #34F05 #62M45 #65L99 #65M99 #65N99 #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks
10. Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble
    2025/03/08 by Zou, Zongren, Wang, Zhicheng, Karniadakis, George Em · 5 citations
    #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)