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Kang-Hyun Lee

Assistant Professor

Soongsil University

South Korea

Research Interests

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About

Dr. Kang-Hyun Lee is an Assistant Professor at the Massachusetts Institute of Technology, USA. His research focuses on advanced computational methods for microstructure analysis and generation, particularly in the context of additive manufacturing and composite materials. He has published extensively on topics such as denoising diffusion-based techniques for microstructure reconstruction and optimization processes in laser powder bed fusion.

Articles (15)

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2026

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2026

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2026

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2026

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2026

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2024

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2021

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2020

Collaborators (5)

Hyoung Jun Lim

Assistant Professor

Gyeongsang National University

SOUTH KOREA

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Gunjin Yun

associate professor

Seoul National University

SOUTH KOREA

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Natasha Vermaak

Associate Professor

Lehigh University

UNITED STATES

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Zachary Cordero

Associate Professor

Massachusetts Institute of Technology

UNITED STATES

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Shen Wang

Lehigh University

UNITED STATES

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Kang-Hyun Lee

Research Interests

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About

Articles (15)

Aeroplastic design of simplified turbine disks under transient thermal loads

A unified physics-based framework for vibration prediction and design optimization of functionally graded trapezoidal thin plates

Process–defect–property relationships in LPBF-fabricated AlSi10Mg thin-walled honeycomb structures under compression

Enhanced lightweight, moisture-resistant, and thermoelectric cement composites using carbon nanotube and Hollow glass microsphere-based hybrid clusters

MicroLad: 2D-to-3D microstructure reconstruction and generation via latent diffusion and score distillation

Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs

A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative models

Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling

Microstructure reconstruction using diffusion-based generative models

A defect detection framework using three-dimensional convolutional neural network (3D-CNN) with in-situ monitoring data in laser powder bed fusion process

Design optimization of thermally conductive support structure for laser powder-bed fusion process with part-scale thermal history

Computational ablative thermal response analysis of carbon/phenolic composites for thermal protection system

Melt Pool Characterization of Selective Laser Melting of AlSi10Mg based on Numerical Model of Single-Track Scanning Process

Temperature thread multiscale finite element simulation of selective laser melting for the evaluation of process

A novel heat source model for analysis of melt Pool evolution in selective laser melting process

Collaborators (5)

Hyoung Jun Lim

Gunjin Yun

Natasha Vermaak

Zachary Cordero

Shen Wang

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