China National Petroleum Corporation (China)

output

20122025

most citedKolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks

197 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Yang Liu4 profiles4 · h 6
Shuang Liu3 · h 2
Siyu Xiao3 · h 1
Tianhao Mao3 · h 2
Tupei Chen2 profiles3 · h 13
Xindi Zhao3 · h 1
Yuqiao Chen3 · h 1
Junjie Wang2 · h 1
A. Liu1 · h 6
Ankit S. Disa1 · h 2
C. Anitescu1 · h 32
Chen-Song Zhang1 · h 8

collaborating institutions

Nanyang Technological UniversitySG3 papers
Southwest Petroleum UniversityCN3 papers
University of Electronic Science and Technology of ChinaCN3 papers
National Engineering Research Center of Electromagnetic Radiation Control MaterialsCN2 papers
Research Institute of Petroleum Exploration and DevelopmentCN2 papers
Academy of Mathematics and Systems ScienceCN1 paper
AlbaNovaSE1 paper
Bauhaus-Universität WeimarDE1 paper
Bellevue CollegeUS1 paper
Brookhaven National LaboratoryUS1 paper
Chengdu University of TechnologyCN1 paper
Chinese Academy of SciencesCN1 paper

Showing 2024 · cs.LGShow all

1 paper · 2 filters

cs.LG2024★ 197 cited

Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks

Yizheng Wang, Jia Sun, Jinshuai Bai +5

AI for partial differential equations (PDEs) has garnered significant attention, particularly with the emergence of Physics-informed neural networks (PINNs). The recent advent of K…