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Mechanics of Advanced Materials and Structures Volume 31, 2024 - Issue 18
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Original Articles

Microstructure reconstruction using diffusion-based generative models

Kang-Hyun Leea Department of Aerospace Engineering, Seoul National University, Seoul, Republic of KoreaView further author information
&
Gun Jin Yuna Department of Aerospace Engineering, Seoul National University, Seoul, Republic of Korea;b Institute of Advanced Aerospace Technology, Seoul National University, Seoul, South KoreaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8387-3613View further author information
ORCID Icon
Pages 4443-4461 | Received 02 Feb 2023, Accepted 29 Mar 2023, Published online: 20 Apr 2023

Citations (19)

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Minghe Li, Zailin Yang, Jinlai Bian & Yong Yang. Theoretical modeling and dynamic analysis of designable grillages for repairing material surface defect. Mechanics of Advanced Materials and Structures 0:0, pages 1-8.
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Hangil You, Kang-Hyun Lee & Gun Jin Yun. Performance-based design of 2D gas diffusion layer microstructure using denoising diffusion probabilistic model. Mechanics of Advanced Materials and Structures 0:0, pages 1-13.
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Articles from other publishers (17)

Emmanuel Yangue, Durant Fullington, Owen Smith, Wenmeng Tian & Chenang Liu. (2024) Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing. Journal of Computing and Information Science in Engineering 24:6.
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Xinxin Liu, Kexin Fan, Xinmeng Huang, Jiankai Ge, Yujie Liu & Haisu Kang. (2024) Recent advances in artificial intelligence boosting materials design for electrochemical energy storage. Chemical Engineering Journal 490, pages 151625.
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Adam P. Generale, Andreas E. Robertson, Conlain Kelly & Surya R. Kalidindi. (2024) Inverse stochastic microstructure design. Acta Materialia 271, pages 119877.
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Kang-Hyun Lee & Gun Jin Yun. (2024) Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling. npj Computational Materials 10:1.
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Andi Wijaya, Julian Wagner, Bernhard Sartory & Roland Brunner. (2024) Analyzing microstructure relationships in porous copper using a multi-method machine learning-based approach. Communications Materials 5:1.
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Ganchang He, Yaning Chen, Zhi Li, Gonghuan Fang, Jianyu Zhu & Wenting Liang. (2024) Exploring denoising diffusion probabilistic model for daily streamflow gap filling in Central Asia typical watersheds. Journal of Hydrology: Regional Studies 52, pages 101701.
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Kang-Hyun Lee & Gun Jin Yun. (2024) Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs. Computer Methods in Applied Mechanics and Engineering 423, pages 116876.
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Kang-Hyun Lee, Hyoung Jun Lim & Gun Jin Yun. (2024) A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative models. Engineering Applications of Artificial Intelligence 129, pages 107590.
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Paul Seibert, Alexander Raßloff, Yichi Zhang, Karl Kalina, Paul Reck, Daniel Peterseim & Markus Kästner. (2024) Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata. Integrating Materials and Manufacturing Innovation 13:1, pages 272-287.
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Xianrui Lyu & Xiaodan Ren. (2024) Microstructure reconstruction of 2D/3D random materials via diffusion-based deep generative models. Scientific Reports 14:1.
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Leon Herrmann & Stefan Kollmannsberger. (2024) Deep learning in computational mechanics: a review. Computational Mechanics.
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Paul Seibert, Markus Husert, Maximilian P. Wollner, Karl A. Kalina & Markus Kästner. (2024) Fast Reconstruction of Microstructures with Ellipsoidal Inclusions Using Analytical Descriptors. Computer-Aided Design 166, pages 103635.
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Biao Yin & Yangyang Fan. 2024. TMS 2024 153rd Annual Meeting & Exhibition Supplemental Proceedings. TMS 2024 153rd Annual Meeting & Exhibition Supplemental Proceedings 804 811 .
Biao Yin, Yangyang Fan, Nicholas Josselyn & Elke Rundensteiner. (2023) AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures. AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures.
Erfan Azqadan, Hamid Jahed & Arash Arami. (2023) Predictive microstructure image generation using denoising diffusion probabilistic models. Acta Materialia 261, pages 119406.
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Paul Seibert, Alexander Raßloff, Karl Kalina, Ali Safi, Paul Reck, Daniel Peterseim, Benjamin Klusemann & Markus Kästner. (2023) On the relevance of descriptor fidelity in microstructure reconstruction. PAMM 23:3.
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Ting Zhang, Peng Zhu & Fangfang Lu. (2023) Stochastic reconstruction of porous media based on attention mechanisms and multi-stage generative adversarial network. Computational Geosciences 27:3, pages 515-536.
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