Lu Lu

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George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringVerifierad e-postadress på brown.edu
Pengzhan JinPeking UniversityVerifierad e-postadress på pku.edu.cn
Paris PerdikarisUniversity of PennsylvaniaVerifierad e-postadress på seas.upenn.edu
Sifan WangPostdoc, Yale UniversityVerifierad e-postadress på yale.edu
Zhongqiang ZhangWorcester Polytechnic InstituteVerifierad e-postadress på wpi.edu
Xuhui MengSchool of Mathematics and Statistics, HUSTVerifierad e-postadress på hust.edu.cn
Zhiping MaoSchool of Mathematical Sciences Eastern Institute of Technology NingboVerifierad e-postadress på eitech.edu.cn
Min ZhuPhD student, Yale UniversityVerifierad e-postadress på yale.edu
He LiAssistant Professor of CMBE, UGAVerifierad e-postadress på uga.edu
Shengze CaiZhejiang UniversityVerifierad e-postadress på zju.edu.cn
Guofei PangSoutheast UniversityVerifierad e-postadress på seu.edu.cn
Liu YangDepartment of Mathematics, National University of SingaporeVerifierad e-postadress på nus.edu.sg
Ioannis KevrekidisProfessor, Chemical Engineering & Applied MathematicsVerifierad e-postadress på jhu.edu
Ming DaoMassachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Tamer ZakiProfessor of Mechanical Engineering, Johns Hopkins UniversityVerifierad e-postadress på jhu.edu
Yeonjong ShinNorth Carolina State UniversityVerifierad e-postadress på ncsu.edu
Zhicheng WangDalian University of TechnologyVerifierad e-postadress på dlut.edu.cn
Xuejin Li (李学进)Zhejiang UniversityVerifierad e-postadress på zju.edu.cn
Steven JohnsonProfessor of Applied Mathematics and Physics, Massachusetts Institute of TechnologyVerifierad e-postadress på math.mit.edu
Raphael PestourieAssistant Professor at School of Computational Science and Engineering, Georgia TechVerifierad e-postadress på gatech.edu

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Lu Lu

Assistant Professor of Statistics and Data Science, Yale University

Verifierad e-postadress på yale.edu - Startsida

Scientific Machine Learning AI for Science Multiscale Modeling High Performance Computing


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Physics-informed machine learning GE Karniadakis, IG Kevrekidis, L Lu, P Perdikaris, S Wang, L Yang Nature Reviews Physics 3 (6), 422-440, 2021	5035	2021
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators L Lu, P Jin, G Pang, Z Zhang, GE Karniadakis Nature Machine Intelligence 3 (3), 218-229, 2021	2754*	2021
DeepXDE: A deep learning library for solving differential equations L Lu, X Meng, Z Mao, GE Karniadakis SIAM Review 63 (1), 208-228, 2021	2045	2021
fPINNs: Fractional physics-informed neural networks G Pang, L Lu, GE Karniadakis SIAM Journal on Scientific Computing 41 (4), A2603-A2626, 2019	864	2019
Dying ReLU and Initialization: Theory and Numerical Examples L Lu, Y Shin, Y Su, GE Karniadakis COMMUNICATIONS IN COMPUTATIONAL PHYSICS 28 (5), 1671-1706, 2020	696	2020
Physics-informed neural networks with hard constraints for inverse design L Lu, R Pestourie, W Yao, Z Wang, F Verdugo, SG Johnson SIAM Journal on Scientific Computing 43 (6), B1105-B1132, 2021	618	2021
Physics-informed neural networks for inverse problems in nano-optics and metamaterials Y Chen, L Lu, GE Karniadakis, L Dal Negro Optics Express 28 (8), 11618-11633, 2020	615	2020
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems D Zhang, L Lu, L Guo, GE Karniadakis Journal of Computational Physics 397, 108850, 2019	500	2019
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems J Yu, L Lu, X Meng, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 393, 114823, 2022	485	2022
A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data L Lu, X Meng, S Cai, Z Mao, S Goswami, Z Zhang, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 393, 114778, 2022	453	2022
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks C Wu, M Zhu, Q Tan, Y Kartha, L Lu Computer Methods in Applied Mechanics and Engineering 403, 115671, 2023	391	2023
Extraction of mechanical properties of materials through deep learning from instrumented indentation L Lu, M Dao, P Kumar, U Ramamurty, GE Karniadakis, S Suresh Proceedings of the National Academy of Sciences 117 (13), 7052-7062, 2020	312	2020
Systems biology informed deep learning for inferring parameters and hidden dynamics A Yazdani, L Lu, M Raissi, GE Karniadakis PLOS Computational Biology 16 (11), e1007575, 2020	299	2020
DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks S Cai, Z Wang, L Lu, TA Zaki, GE Karniadakis Journal of Computational Physics 436, 110296, 2021	262	2021
Operator learning for predicting multiscale bubble growth dynamics C Lin, Z Li, L Lu, S Cai, M Maxey, GE Karniadakis The Journal of Chemical Physics 154 (10), 104118, 2021	172	2021
DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators Z Mao, L Lu, O Marxen, TA Zaki, GE Karniadakis Journal of Computational Physics 447, 110698, 2021	154	2021
MIONet: Learning Multiple-Input Operators via Tensor Product P Jin, S Meng, L Lu SIAM Journal on Scientific Computing 44 (6), A3490-A3514, 2022	149	2022
Mechanics of diseased red blood cells in human spleen and consequences for hereditary blood disorders H Li, L Lu, X Li, PA Buffet, M Dao, GE Karniadakis, S Suresh Proceedings of the National Academy of Sciences 115 (38), 9574-9579, 2018	128	2018
Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport L Lu, R Pestourie, SG Johnson, G Romano Physical Review Research 4 (2), 023210, 2022	122	2022
Neural operator prediction of linear instability waves in high-speed boundary layers PC Di Leoni, L Lu, C Meneveau, GE Karniadakis, TA Zaki Journal of Computational Physics, 111793, 2022	118	2022

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