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Denoising diffusion algorithm for inverse design of microstructures with
  fine-tuned nonlinear material properties

Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties

24 February 2023
Nikolaos N. Vlassis
WaiChing Sun
    AI4CE
    DiffM
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Papers citing "Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties"

12 / 12 papers shown
Title
GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects
Nathan Hoffman
Cashen Diniz
Dehao Liu
T. Rodgers
Anh Tran
Mark Fuge
AI4CE
DiffM
46
0
0
18 Feb 2025
A Large Language Model and Denoising Diffusion Framework for Targeted
  Design of Microstructures with Commands in Natural Language
A Large Language Model and Denoising Diffusion Framework for Targeted Design of Microstructures with Commands in Natural Language
Nikita Kartashov
Nikolaos N. Vlassis
DiffM
AI4CE
20
1
0
22 Sep 2024
Conditional score-based diffusion models for solving inverse problems in
  mechanics
Conditional score-based diffusion models for solving inverse problems in mechanics
Agnimitra Dasgupta
Harisankar Ramaswamy
Javier Murgoitio-Esandi
Ken Foo
Runze Li
Qifa Zhou
Brendan Kennedy
Assad A. Oberai
DiffM
MedIm
37
2
0
19 Jun 2024
A review on data-driven constitutive laws for solids
A review on data-driven constitutive laws for solids
J. Fuhg
G. A. Padmanabha
N. Bouklas
B. Bahmani
WaiChing Sun
Nikolaos N. Vlassis
Moritz Flaschel
P. Carrara
L. Lorenzis
AI4CE
AILaw
23
32
0
06 May 2024
Physics-Informed Diffusion Models
Physics-Informed Diffusion Models
Jan-Hendrik Bastek
WaiChing Sun
D. Kochmann
DiffM
AI4CE
47
10
0
21 Mar 2024
Generative Inverse Design of Metamaterials with Functional Responses by
  Interpretable Learning
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning
Wei Chen
Rachel Sun
Doksoo Lee
Carlos M. Portela
Wei Chen
AI4CE
29
3
0
08 Dec 2023
Deep Learning in Deterministic Computational Mechanics
Deep Learning in Deterministic Computational Mechanics
L. Herrmann
Stefan Kollmannsberger
AI4CE
PINN
35
0
0
27 Sep 2023
Multi-plane denoising diffusion-based dimensionality expansion for
  2D-to-3D reconstruction of microstructures with harmonized sampling
Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling
Kang-Hyun Lee
G. Yun
DiffM
10
9
0
27 Aug 2023
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
Doksoo Lee
Wei-Neng Chen
Liwei Wang
Yu-Chin Chan
Wei Chen
AI4CE
22
78
0
01 Jul 2023
Diffusion model based data generation for partial differential equations
Diffusion model based data generation for partial differential equations
Rucha Apte
Sheel Nidhan
Rishikesh Ranade
Jay Pathak
DiffM
52
6
0
19 Jun 2023
Synthesizing realistic sand assemblies with denoising diffusion in
  latent space
Synthesizing realistic sand assemblies with denoising diffusion in latent space
Nikolaos N. Vlassis
WaiChing Sun
K. Alshibli
R. Regueiro
DiffM
17
6
0
07 Jun 2023
Data-driven discovery of interpretable causal relations for deep
  learning material laws with uncertainty propagation
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation
Xiao Sun
B. Bahmani
Nikolaos N. Vlassis
WaiChing Sun
Yanxun Xu
CML
AI4CE
63
26
0
20 May 2021
1