ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.00790
  4. Cited By
Data-Driven Discovery of Coarse-Grained Equations
v1v2v3v4v5 (latest)

Data-Driven Discovery of Coarse-Grained Equations

Journal of Computational Physics (JCP), 2020
30 January 2020
Joseph Bakarji
D. Tartakovsky
ArXiv (abs)PDFHTML

Papers citing "Data-Driven Discovery of Coarse-Grained Equations"

13 / 13 papers shown
The Weak Form Is Stronger Than You Think
The Weak Form Is Stronger Than You Think
Daniel Messenger
April Tran
Vanja M. Dukic
David M. Bortz
314
16
0
10 Sep 2024
Learning Nonautonomous Systems via Dynamic Mode Decomposition
Learning Nonautonomous Systems via Dynamic Mode Decomposition
Hannah Lu
D. Tartakovsky
AI4CE
219
1
0
27 Jun 2023
Machine Learning for Partial Differential Equations
Machine Learning for Partial Differential Equations
Steven L. Brunton
J. Nathan Kutz
AI4CE
263
24
0
30 Mar 2023
A novel corrective-source term approach to modeling unknown physics in
  aluminum extraction process
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process
Haakon Robinson
E. Lundby
Adil Rasheed
J. Gravdahl
236
6
0
22 Sep 2022
Combining physics-based and data-driven techniques for reliable hybrid
  analysis and modeling using the corrective source term approach
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approachApplied Soft Computing (ASC), 2022
Sindre Stenen Blakseth
Adil Rasheed
T. Kvamsdal
Omer San
AI4CE
202
45
0
07 Jun 2022
A posteriori learning for quasi-geostrophic turbulence parametrization
A posteriori learning for quasi-geostrophic turbulence parametrizationJournal of Advances in Modeling Earth Systems (JAMES), 2022
Hugo Frezat
Julien Le Sommer
Ronan Fablet
G. Balarac
Redouane Lguensat
285
77
0
08 Apr 2022
Online Weak-form Sparse Identification of Partial Differential Equations
Online Weak-form Sparse Identification of Partial Differential EquationsMathematical and Scientific Machine Learning (MSML), 2022
Daniel Messenger
E. Dall’Anese
David M. Bortz
279
14
0
08 Mar 2022
Machine Learning in Heterogeneous Porous Materials
Machine Learning in Heterogeneous Porous Materials
Martha DÉli
H. Deng
Cedric G. Fraces
K. Garikipati
L. Graham‐Brady
...
H. Tchelepi
B. Važić
Hari S. Viswanathan
H. Yoon
P. Zarzycki
AI4CE
247
12
0
04 Feb 2022
Discovering Governing Equations from Partial Measurements with Deep
  Delay Autoencoders
Discovering Governing Equations from Partial Measurements with Deep Delay AutoencodersProceedings of the Royal Society A (Proc. R. Soc. A), 2022
Joseph Bakarji
Kathleen P. Champion
J. Nathan Kutz
Steven L. Brunton
389
119
0
13 Jan 2022
Differentiable Physics: A Position Piece
Differentiable Physics: A Position Piece
Bharath Ramsundar
Dilip Krishnamurthy
V. Viswanathan
PINNAI4CE
286
18
0
14 Sep 2021
Robust discovery of partial differential equations in complex situations
Robust discovery of partial differential equations in complex situationsPhysical Review Research (Phys. Rev. Res.), 2021
Hao Xu
Dongxiao Zhang
AI4CE
239
37
0
31 May 2021
Information-geometry of physics-informed statistical manifolds and its
  use in data assimilation
Information-geometry of physics-informed statistical manifolds and its use in data assimilationJournal of Computational Physics (JCP), 2021
F. Boso
D. Tartakovsky
AI4CE
224
9
0
01 Mar 2021
Autonomous learning of nonlocal stochastic neuron dynamics
Autonomous learning of nonlocal stochastic neuron dynamicsCognitive Neurodynamics (Cogn. Neurodyn.), 2020
Tyler E. Maltba
Hongli Zhao
D. Tartakovsky
135
11
0
22 Nov 2020
1
Page 1 of 1