George Em Karniadakis

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	124563	79177
h-индекс	149	105
i10-индекс	643	507

26000

13000

6500

19500

20002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025316 413 506 632 873 1147 1341 1466 1656 1907 1932 2177 2537 2672 3018 3311 3491 4006 4326 5065 6196 9516 13490 18919 25626 5338

Публичен достъп

Преглед на всички

312 статии

24 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Ali BeskokSouthern Methodist UniversityПотвърден имейл адрес: smu.edu
Michael S. TriantafyllouHenry L. and Grace Doherty Professor of Ocean Science & Engineering, MITПотвърден имейл адрес: mit.edu
Igor V. PivkinProfessor of Computational Science, USI Lugano and Swiss Institute of Bioinformatics, SwitzerlandПотвърден имейл адрес: usi.ch
Spencer J. SherwinProfessor of Computational Fluid Mechanics, Imperial College LondonПотвърден имейл адрес: imperial.ac.uk
Dongbin XiuProfessor of Mathematics, The Ohio State UniversityПотвърден имейл адрес: osu.edu
Xuejin Li (李学进)Zhejiang UniversityПотвърден имейл адрес: zju.edu.cn
Suchuan DongDepartment of Mathematics, Purdue UniversityПотвърден имейл адрес: math.purdue.edu
Didier LucorSenior researcher, CNRS, LISN, Orsay, FranceПотвърден имейл адрес: lisn.upsaclay.fr
Xiaoliang WanLouisiana State UniversityПотвърден имейл адрес: math.lsu.edu
Robert M. Kirby OR R.M. KirbySchool of Computing, University of UtahПотвърден имейл адрес: cs.utah.edu
Mohsen ZayernouriAssociate Professor at Michigan State UniversityПотвърден имейл адрес: msu.edu
Wenxiao PanAssociate Professor of Mechanical Engineering, University of Wisconsin-MadisonПотвърден имейл адрес: wisc.edu
Bernardo CockburnProfessor of Mathematics, University of MinnesotaПотвърден имейл адрес: math.umn.edu
George S. TriantafyllouProfessor of HydrodynamicsПотвърден имейл адрес: deslab.ntua.gr
Timothy WarburtonJohn K. Costain Faculty Chair, Virginia Polytechnic Institute and State UniversityПотвърден имейл адрес: vt.edu
Jasmine FooProfessor of Mathematics, University of MinnesotaПотвърден имейл адрес: umn.edu
Leopold GrinbergAMD

Следене

George Em Karniadakis

The Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Engineering

Потвърден имейл адрес: brown.edu - Начална страница

Math+Machine Learning Probabilistic Scientific Computing Stochastic Multiscale Modeling


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations M Raissi, P Perdikaris, GE Karniadakis Journal of Computational physics 378, 686-707, 2019	13121	2019
The Wiener--Askey polynomial chaos for stochastic differential equations D Xiu, GE Karniadakis SIAM journal on scientific computing 24 (2), 619-644, 2002	6025	2002
Physics-informed machine learning GE Karniadakis, IG Kevrekidis, L Lu, P Perdikaris, S Wang, L Yang Nature Reviews Physics 3 (6), 422-440, 2021	5135	2021
Microflows and nanoflows: fundamentals and simulation G Karniadakis, A Beskok, N Aluru Springer Science & Business Media, 2006	4155*	2006
Spectral/hp element methods for computational fluid dynamics G Karniadakis, SJ Sherwin Oxford University Press, 2005	3643	2005
Discontinuous Galerkin methods: theory, computation and applications B Cockburn, GE Karniadakis, CW Shu Springer Science & Business Media, 2012	3097*	2012
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	2214	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	2065	2021
High-order splitting methods for the incompressible Navier-Stokes equations GE Karniadakis, M Israeli, SA Orszag Journal of computational physics 97 (2), 414-443, 1991	1836	1991
Modeling uncertainty in flow simulations via generalized polynomial chaos D Xiu, GE Karniadakis Journal of computational physics 187 (1), 137-167, 2003	1829	2003
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations M Raissi, A Yazdani, GE Karniadakis Science 367 (6481), 1026-1030, 2020	1818	2020
Physics informed deep learning (part i): Data-driven solutions of nonlinear partial differential equations M Raissi, P Perdikaris, GE Karniadakis arXiv preprint arXiv:1711.10561, 2017	1671	2017
Report: a model for flows in channels, pipes, and ducts at micro and nano scales A Beskok, GE Karniadakis Microscale thermophysical engineering 3 (1), 43-77, 1999	1551	1999
Hidden physics models: Machine learning of nonlinear partial differential equations M Raissi, GE Karniadakis Journal of Computational Physics 357, 125-141, 2018	1429	2018
Physics-informed neural networks (PINNs) for fluid mechanics: A review S Cai, Z Mao, Z Wang, M Yin, GE Karniadakis Acta Mechanica Sinica 37 (12), 1727-1738, 2021	1364	2021
Physics-informed neural networks for high-speed flows Z Mao, AD Jagtap, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 360, 112789, 2020	1107	2020
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations X Jin, S Cai, H Li, GE Karniadakis Journal of Computational Physics 426, 109951, 2021	1048	2021
Adaptive activation functions accelerate convergence in deep and physics-informed neural networks AD Jagtap, K Kawaguchi, GE Karniadakis Journal of Computational Physics 404, 109136, 2020	998*	2020
Physics-informed neural networks for heat transfer problems S Cai, Z Wang, S Wang, P Perdikaris, GE Karniadakis Journal of Heat Transfer 143 (6), 060801, 2021	895	2021
Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems AD Jagtap, E Kharazmi, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 365, 113028, 2020	895	2020

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