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ORCIDMohammad Sadegh Eshaghi
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2020 – today
- 2026
[i9]Yizheng Wang, Zhongkai Hao, Mohammad Sadegh Eshaghi
, Cosmin Anitescu, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu:
Pretrain Finite Element Method: A Pretraining and Warm-start Framework for PDEs via Physics-Informed Neural Operators. CoRR abs/2601.03086 (2026)- [i8]Yizheng Wang, Cosmin Anitescu, Mohammad Sadegh Eshaghi, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu:
Deep Energy Method with Large Language Model assistance: an open-source Streamlit-based platform for solving variational PDEs. CoRR abs/2602.07838 (2026) - [i7]Yizheng Wang, Mohammad Sadegh Eshaghi, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu:
Replay-Based Continual Learning for Physics-Informed Neural Operators. CoRR abs/2605.04832 (2026) - [i6]Mostafa Bamdad, Mohammad Sadegh Eshaghi, Timon Rabczuk:
HAMNO: A Hierarchical Adaptive Multi-scale Neural Operator with Physics-Informed Learning for Dynamical Systems. CoRR abs/2606.11963 (2026) - 2025
- [i5]Yizheng Wang, Jinshuai Bai, Mohammad Sadegh Eshaghi, Cosmin Anitescu, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu:
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation. CoRR abs/2502.00782 (2025) - [i4]Mohammad Sadegh Eshaghi, Cosmin Anitescu, Navid Valizadeh, Yizheng Wang, Xiaoying Zhuang, Timon Rabczuk:
NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers. CoRR abs/2511.02481 (2025) - 2024
- [i3]Yizheng Wang, Jia Sun, Jinshuai Bai, Cosmin Anitescu, Mohammad Sadegh Eshaghi, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu:
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks. CoRR abs/2406.11045 (2024) - [i2]Mohammad Sadegh Eshaghi, Mostafa Bamdad, Cosmin Anitescu, Yizheng Wang, Xiaoying Zhuang, Timon Rabczuk:
DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams. CoRR abs/2408.02698 (2024) - [i1]Yizheng Wang, Jinshuai Bai, Zhongya Lin, Qimin Wang, Cosmin Anitescu, Jia Sun, Mohammad Sadegh Eshaghi, Yuantong Gu, Xi-Qiao Feng, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu:
Artificial intelligence for partial differential equations in computational mechanics: A review. CoRR abs/2410.19843 (2024) - 2021
- [j1]Mohammad Sadegh Eshaghi, Mohsen Abbaspour, Hamidreza Abbasianjahromi, Stefano Mariani:
Machine Learning-Based Prediction of the Seismic Bearing Capacity of a Shallow Strip Footing over a Void in Heterogeneous Soils. Algorithms 14(10): 288 (2021)
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