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2302.09808
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RecFNO: a resolution-invariant flow and heat field reconstruction method
from sparse observations via Fourier neural operator

RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator

International journal of thermal sciences (Int. J. Therm. Sci.), 2023

20 February 2023

ArXiv (abs)PDF HTML Github (25★)

Papers citing "RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator"

8 / 8 papers shown

Learning to Reconstruct Temperature Field from Sparse Observations with Implicit Physics Priors

Learning to Reconstruct Temperature Field from Sparse Observations with Implicit Physics Priors

195

0

0

01 Dec 2025

AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning

AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning

George Em Karniadakis

309

10

0

10 Nov 2025

Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training

Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training

744

5

0

29 Oct 2025

RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations

RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations

268

3

0

01 Sep 2025

Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks

Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks

413

9

0

12 Feb 2025

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE
Pre-Training

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Hang Su

Jun Zhu

487

105

0

06 Mar 2024

A novel Fourier neural operator framework for classification of
multi-sized images: Application to three dimensional digital porous media

A novel Fourier neural operator framework for classification of multi-sized images: Application to three dimensional digital porous media

329

6

0

18 Feb 2024

A Mathematical Guide to Operator Learning

A Mathematical Guide to Operator Learning

Nicolas Boullé

412

82

0

22 Dec 2023

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