Awesome AI for Science
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Lu Lu — most-cited papers & profile · AI for Science
← authors
·
overview
Lu Lu
11
papers ·
830
citations ·
38
h-index
Yale University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
2022 · 592 citations
MIONet: Learning multiple-input operators via tensor product
2022 · 180 citations
Learning Specialized Activation Functions for Physics-informed Neural Networks
2023 · 29 citations
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
2023 · 21 citations
One-shot learning for solution operators of partial differential equations
2021 · 4 citations
Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks
2022 · 4 citations
DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning
2024
Top co-authors
Anran Jiao
· 1
Chang Su
· 1
Chenxi Wu
· 1
Christian Moya
· 1
Fanzhi Lu
· 1
Gao Huang
· 1
George Em Karniadakis
· 1
Guang Lin
· 1
Haiyang He
· 1
Hang Su
· 1
Hayden Schaeffer
· 1
Honghui Wang
· 1
Topics
Math & Equations
Physics ML
Medical AI
Genomics
cs.NA
math.NA