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Timon Rabczuk — most-cited papers & profile · AI for Science
← authors
·
overview
Timon Rabczuk
7
papers ·
162
citations ·
0
h-index
Bauhaus-Universität Weimar
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks
2024 · 154 citations
Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning
2020 · 5 citations
Energy-based physics-informed neural network for frictionless contact problems under large deformation
2024 · 3 citations
PENCO: A Physics-Energy-Numerics-Consistent Operator for 3D Phase Field Modeling
2025
Towards Unified AI-Driven Fracture Mechanics: The Extended Deep Energy Method (XDEM)
2025
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
2025
A Pretraining-Finetuning Computational Framework for Material Homogenization
2024
Top co-authors
Jinshuai Bai
· 5
Yizheng Wang
· 5
Cosmin Anitescu
· 4
Mohammad Sadegh Eshaghi
· 4
Xiaoying Zhuang
· 4
Yinghua Liu
· 3
Yinghua Liu
· 2
Bokai Liu
· 1
Hongwei Guo
· 1
Huadong Zhang
· 1
Jiancong Wen
· 1
Jia Sun
· 1
Topics
Physics ML
Materials
Math & Equations