Timon Rabczuk

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 et al. · Computer Methods in Applied Mechanics and Engineering · 2024 · 154 citations

Computing, Computer Science, Physics +13

A partitioned model order reduction approach to rationalise computational expenses in nonlinear fracture mechanics

Pierre Kerfriden, Olivier Goury, Timon Rabczuk et al. · Computer Methods in Applied Mechanics and Engineering · 2012 · 148 citations · Full text

Engineering, Computational Engineering, Mathematics +16

Variational Physics-informed Neural Operator (VINO) for solving partial differential equations

Mohammad Sadegh Eshaghi, Cosmin Anitescu, Manish Thombre et al. · Computer Methods in Applied Mechanics and Engineering · 2025 · 141 citations · Full text

Natural Sciences, Mathematics, Physics +14

A robust monolithic solver for phase-field fracture integrated with fracture energy based arc-length method and under-relaxation

Ritukesh Bharali, Somdatta Goswami, Cosmin Anitescu et al. · arXiv (Cornell University) · 2021 · 70 citations · Full text

Engineering, Computational Engineering, Mechanical Engineering +16

Transfer Learning in Physics‐Informed Neurals Networks: Full Fine‐Tuning, Lightweight Fine‐Tuning, and Low‐Rank Adaptation

Yizheng Wang, Jinshuai Bai, Mohammad Sadegh Eshaghi et al. · International journal of mechanical system dynamics · 2025 · 39 citations · Full text

Computing, Computational Engineering, Physics +12