Lu Lu
Massachusetts Institute of Technology
H-index: 27
North America-United States
Top articles of Lu Lu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Challenges in Training PINNs: A Loss Landscape Perspective | arXiv preprint arXiv:2402.01868 | Pratik Rathore Weimu Lei Zachary Frangella Lu Lu Madeleine Udell | 2024/2/2 |
Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease | PNAS Nexus | Yu Zhang Yuhao Qiang He Li Guansheng Li Lu Lu | 2024/1/20 |
Speeding up and reducing memory usage for scientific machine learning via mixed precision | arXiv preprint arXiv:2401.16645 | Joel Hayford Jacob Goldman-Wetzler Eric Wang Lu Lu | 2024/1/30 |
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks | arXiv preprint arXiv:2402.15406 | Christian Moya Amirhossein Mollaali Zecheng Zhang Lu Lu Guang Lin | 2024/2/23 |
Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics | Communications Physics | Xin-Yang Liu Min Zhu Lu Lu Hao Sun Jian-Xun Wang | 2024/1/13 |
Identifying heterogeneous micromechanical properties of biological tissues via physics-informed neural networks | arXiv preprint arXiv:2402.10741 | Wensi Wu Mitchell Daneker Kevin T Turner Matthew A Jolley Lu Lu | 2024/2/16 |
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains | arXiv preprint arXiv:2402.07250 | Minglang Yin Nicolas Charon Ryan Brody Lu Lu Natalia Trayanova | 2024/2/11 |
Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration | arXiv preprint arXiv:2303.04778 | Zhongyi Jiang Min Zhu Dongzhuo Li Qiuzi Li Yanhua O Yuan | 2023/3/8 |
Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material properties in solid mechanics | Applied mathematics and mechanics | Wensi Wu Mitchell Daneker Matthew A Jolley Kevin T Turner Lu Lu | 2023/7 |
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness | Computer Methods in Applied Mechanics and Engineering | Min Zhu Shihang Feng Youzuo Lin Lu Lu | 2023/11/1 |
A systematic study of the performance of machine learning models on analyzing the association between semen quality and environmental pollutants | Frontiers in Physics | Lu Lu Ying Qian Qiang Zeng He Li | 2023 |
PPDONet: Deep Operator Networks for Fast Prediction of Steady-state Solutions in Disk–Planet Systems | The Astrophysical Journal Letters | Shunyuan Mao Ruobing Dong Lu Lu Kwang Moo Yi Sifan Wang | 2023/6/16 |
D2NO: Efficient Handling of Heterogeneous Input Function Spaces with Distributed Deep Neural Operators | arXiv preprint arXiv:2310.18888 | Zecheng Zhang Christian Moya Lu Lu Guang Lin Hayden Schaeffer | 2023/10/29 |
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks | Computer Methods in Applied Mechanics and Engineering | Chenxi Wu Min Zhu Qinyang Tan Yadhu Kartha Lu Lu | 2023/1/1 |
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs | arXiv preprint arXiv:2306.08827 | Zhongkai Hao Jiachen Yao Chang Su Hang Su Ziao Wang | 2023/6/15 |
Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells | Energy and AI | Jiankang Wang Hai Jiang Gaojian Chen Huizhi Wang Lu Lu | 2023/10/1 |
Deep Learning for Solving and Estimating Dynamic Macro-Finance Models | arXiv preprint arXiv:2305.09783 | Benjamin Fan Edward Qiao Anran Jiao Zhouzhou Gu Wenhao Li | 2023/5/5 |
Learning Specialized Activation Functions for Physics-informed Neural Networks | arXiv preprint arXiv:2308.04073 | Honghui Wang Lu Lu Shiji Song Gao Huang | 2023/8/8 |
Systems Biology: Identifiability Analysis and Parameter Identification via Systems-Biology-Informed Neural Networks | Mitchell Daneker Zhen Zhang George Em Karniadakis Lu Lu | 2023/4/20 | |
Reliable extrapolation of deep neural operators informed by physics or sparse observations | Computer Methods in Applied Mechanics and Engineering | Min Zhu Handi Zhang Anran Jiao George Em Karniadakis Lu Lu | 2023/7/1 |
Co-Authors
