Concepedia
Statistics
Publications
65
Citations
6K
H-Index
34
Active since
2003
Affiliations
Brown University(Current)
University of Pennsylvania
Yale University
Johns Hopkins University
Massachusetts Institute of Technology
Lu Lu is an author at Brown University specializing in engineering, machine learning, and deep learning.
Top concepts
EngineeringMachine LearningDeep LearningMedicineData ScienceComputer SciencePhysicsInverse ProblemsChemical EngineeringElectrochemistry
Publications per year
2003–2024
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
Jeremy Yu, Lu Lu, Xuhui Meng et al. · Computer Methods in Applied Mechanics and Engineering · 2022 · 558 citations · Full text
Engineering, Pde-constrained Optimization, Physics +8
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
Chenxi Wu, Min Zhu, Qinyang Tan et al. · Computer Methods in Applied Mechanics and Engineering · 2022 · 504 citations · Full text
Comprehensive Study, Engineering, Machine Learning +11
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems
Dongkun Zhang, Lu Lu, Ling Guo et al. · Journal of Computational Physics · 2019 · 473 citations · Full text
Engineering, Machine Learning, Physic Aware Machine Learning +10
Sliced Human Cortical Organoids for Modeling Distinct Cortical Layer Formation
Xuyu Qian, Yijing Su, Christopher D. Adam et al. · Cell stem cell · 2020 · 462 citations · Full text
Developmental Biology, Brain Structure, Computational Neuroscience +12
A comprehensive and fair comparison of two neural operators (with practical extensions) based on $\\mathrm{FAIR}$ data
Lu Lu · arXiv (Cornell University) · 2021 · 409 citations · Full text
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