DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous
Beams

DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams

4 August 2024

Yizheng Wang

Timon Rabczuk

Papers citing "DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams"

5 / 5 papers shown

Title
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation Yizheng Wang Jinshuai Bai M. Eshaghi C. Anitescu X. Zhuang Timon Rabczuk Yinghua Liu AI4CE 48 1 0 02 Feb 2025
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 126 200 0 28 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,282 0 18 Oct 2020
Machine Learning and Big Scientific Data Tony (Anthony) John Grenville Hey K. Butler Sam Jackson Jeyarajan Thiyagalingam AI4CE 23 74 0 12 Oct 2019
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications E. Samaniego C. Anitescu S. Goswami Vien Minh Nguyen-Thanh Hongwei Guo Khader M. Hamdia Timon Rabczuk X. Zhuang PINN AI4CE 145 1,339 0 27 Aug 2019