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. 2307.08529
  4. Cited By
Synthetic Lagrangian Turbulence by Generative Diffusion Models

Synthetic Lagrangian Turbulence by Generative Diffusion Models

17 July 2023
Tianyi Li
Luca Biferale
F. Bonaccorso
M. A. Scarpolini
M. Buzzicotti
    DiffM
ArXivPDFHTML

Papers citing "Synthetic Lagrangian Turbulence by Generative Diffusion Models"

11 / 11 papers shown
Title
Generative Latent Neural PDE Solver using Flow Matching
Generative Latent Neural PDE Solver using Flow Matching
Zijie Li
Anthony Y. Zhou
Amir Barati Farimani
DiffM
AI4CE
67
0
0
28 Mar 2025
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
Peiyan Hu
Xiaowei Qian
Wenhao Deng
Rui Wang
Haodong Feng
...
Tao Zhang
Long Wei
Yue Wang
Zhi-Ming Ma
Tailin Wu
AI4CE
111
0
0
04 Feb 2025
Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system
P. Teutsch
Philipp Pfeffer
Mohammad Sharifi Ghazijahani
Christian Cierpka
J. Schumacher
Patrick Mäder
AI4CE
23
0
0
06 Jan 2025
Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by
  Conditional Diffusion Models
Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models
Tianyi Li
Luca Biferale
F. Bonaccorso
M. Buzzicotti
Luca Centurioni
DiffM
32
3
0
31 Oct 2024
DiffBatt: A Diffusion Model for Battery Degradation Prediction and
  Synthesis
DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis
Hamidreza Eivazi
André Hebenbrock
Raphael Ginster
Steffen Blömeke
Stefan H. A. Wittek
Christoph Herrmann
Thomas S. Spengler
Thomas Turek
Andreas Rausch
26
0
0
31 Oct 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Xinghao Dong
Chuanqi Chen
Jin-Long Wu
DiffM
AI4CE
41
5
0
06 Aug 2024
PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction
PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction
Siming Shan
Pengkai Wang
Song Chen
Jiaxu Liu
Chao Xu
Shengze Cai
AI4CE
DiffM
30
2
0
12 Apr 2024
Mixing Artificial and Natural Intelligence: From Statistical Mechanics
  to AI and Back to Turbulence
Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence
Michael Chertkov
AI4CE
30
2
0
26 Mar 2024
Turbulence Scaling from Deep Learning Diffusion Generative Models
Turbulence Scaling from Deep Learning Diffusion Generative Models
Tim Whittaker
R. Janik
Yaron Oz
DiffM
19
5
0
10 Nov 2023
The Universal Statistical Structure and Scaling Laws of Chaos and
  Turbulence
The Universal Statistical Structure and Scaling Laws of Chaos and Turbulence
Noam Levi
Yaron Oz
AI4CE
21
1
0
02 Nov 2023
A multiscale and multicriteria Generative Adversarial Network to
  synthesize 1-dimensional turbulent fields
A multiscale and multicriteria Generative Adversarial Network to synthesize 1-dimensional turbulent fields
Carlos Granero Belinchon
Manuel Cabeza Gallucci
SyDa
GAN
24
1
0
31 Jul 2023
1