ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.00083
  4. Cited By
Reduced operator inference for nonlinear partial differential equations
v1v2 (latest)

Reduced operator inference for nonlinear partial differential equations

29 January 2021
E. Qian
Ionut-Gabriel Farcas
Karen E. Willcox
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Reduced operator inference for nonlinear partial differential equations"

13 / 13 papers shown
Title
Cauchy Random Features for Operator Learning in Sobolev Space
Chunyang Liao
Deanna Needell
Hayden Schaeffer
124
1
0
01 Mar 2025
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine
Ionut-Gabriel Farcas
Rayomand P. Gundevia
R. Munipalli
Karen E. Willcox
AI4CE
120
1
0
13 Jul 2024
GFN: A graph feedforward network for resolution-invariant reduced
  operator learning in multifidelity applications
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications
Oisín M. Morrison
F. Pichi
J. Hesthaven
AI4CE
72
6
0
05 Jun 2024
Multifidelity linear regression for scientific machine learning from
  scarce data
Multifidelity linear regression for scientific machine learning from scarce data
Elizabeth Qian
Dayoung Kang
Vignesh Sella
Anirban Chaudhuri
AI4CE
102
2
0
13 Mar 2024
Operator Learning: Algorithms and Analysis
Operator Learning: Algorithms and Analysis
Nikola B. Kovachki
S. Lanthaler
Andrew M. Stuart
148
33
0
24 Feb 2024
Energy-Preserving Reduced Operator Inference for Efficient Design and
  Control
Energy-Preserving Reduced Operator Inference for Efficient Design and Control
Tomoki Koike
Elizabeth Qian
30
5
0
05 Jan 2024
Gaussian process learning of nonlinear dynamics
Gaussian process learning of nonlinear dynamics
Dongwei Ye
Mengwu Guo
63
4
0
19 Dec 2023
D2NO: Efficient Handling of Heterogeneous Input Function Spaces with
  Distributed Deep Neural Operators
D2NO: Efficient Handling of Heterogeneous Input Function Spaces with Distributed Deep Neural Operators
Zecheng Zhang
Christian Moya
Lu Lu
Guang Lin
Hayden Schaeffer
102
14
0
29 Oct 2023
Nonlinear dimensionality reduction then and now: AIMs for dissipative
  PDEs in the ML era
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era
E. D. Koronaki
N. Evangelou
Cristina P. Martin-Linares
E. Titi
Ioannis G. Kevrekidis
50
6
0
24 Oct 2023
Streaming Compression of Scientific Data via weak-SINDy
Streaming Compression of Scientific Data via weak-SINDy
Benjamin P. Russo
M. P. Laiu
Rick Archibald
68
3
0
29 Aug 2023
Residual-Based Error Corrector Operator to Enhance Accuracy and
  Reliability of Neural Operator Surrogates of Nonlinear Variational
  Boundary-Value Problems
Residual-Based Error Corrector Operator to Enhance Accuracy and Reliability of Neural Operator Surrogates of Nonlinear Variational Boundary-Value Problems
Prashant K. Jha
69
5
0
21 Jun 2023
Convergence of weak-SINDy Surrogate Models
Convergence of weak-SINDy Surrogate Models
Benjamin P. Russo
M. P. Laiu
41
8
0
30 Sep 2022
Learning Green's functions associated with time-dependent partial
  differential equations
Learning Green's functions associated with time-dependent partial differential equations
N. Boullé
Seick Kim
Tianyi Shi
Alex Townsend
AI4CE
97
26
0
27 Apr 2022
1