Dongwoo Lee

Assistant Professor

Sungkyunkwan University

South Korea

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About

Dongwoo Lee is an Assistant Professor at Sungkyunkwan University, South Korea. His research areas include thermal stability and mechanical properties of superalloys, corrosion resistance in bipolar plates, and data-driven investigations of alloy properties. He has published recent articles focusing on advanced materials, including magnetostructural phase distributions and machine learning models for solid electrolytes and semiconductor applications.

Articles (16)

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2025

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2025

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2025

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2024

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2024

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2024

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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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2020

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2020

Collaborators (3)

Keonwook Kang

Yonsei University

SOUTH KOREA

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Insu Jeon

SOUTH KOREA

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Sooran Kim

Assistant Professor

Kyungpook National University

SOUTH KOREA

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Dongwoo Lee

Research Interests

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About

Articles (16)

Enhancing thermal stability and crack resistance in Co-Cr-Ti superalloy films through Mo doping: A combinatorial study

Enhancing corrosion resistance of Ti-coated SUS316L bipolar plates: The role of residual stress and microstructural evolution

Data-driven investigation of magnetostructural phase distributions in Mn-Fe-Ni-Si-Al alloy library

All-glycerogel stretchable supercapacitor with stable performance in a wide temperature window from −20 to 80 °C

Machine Learning Prediction Models for Solid Electrolytes Based on Lattice Dynamics Properties

Microstructures, electrical and mechanical properties of the magnetron sputter deposited metal thin films at variable angles

Glycerol Vapor Assisted Cu Direct Bonding: Implications for 3D Semiconductor Packaging

Data-driven discovery of ultrahigh specific hardness alloys

Machine learning investigation of high-k metal gate processes for dynamic random access memory peripheral transistor

Combined effects of residual stress and microstructure on degradation of Cu thin films on Si

Experimental data management platform for data-driven investigation of combinatorial alloy thin films

Combinatorial discovery of irradiation damage tolerant nano-structured W-based alloys

Machine-Learning-Guided Prediction Models of Critical Temperature of Cuprates

Tunable solid-state thermal rectification by asymmetric nonlinear radiation

Machine learning-based prediction models for formation energies of interstitial atoms in HCP crystals

Anisotropic He-ion irradiation damages in nanocolumnar W thin films

Collaborators (3)

Keonwook Kang

Insu Jeon

Sooran Kim

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