Seungha Shin

Associate Professor

The University of Tennessee Knoxville

United States

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Seungha Shin is an Associate Professor at The University of Tennessee Knoxville, USA. His research primarily focuses on thermodynamic behavior of high-entropy alloys, the structural formation of advanced materials such as graphene aerogels, and the thermal performance of vacuum-insulated glazing systems. His recent publications highlight investigations into phase change mechanisms, laser welding techniques, and the thermoelectric properties of materials.

Articles (12)

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2024

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2023

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2022

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2022

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2022

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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

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2020

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2020

Collaborators (3)

Anming Hu

associate professor

The University of Tennessee Knoxville

UNITED STATES

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Yongchao Yu

Nanyang Technological University (NTU)

SINGAPORE

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Kenneth D. Kihm

University of Tennessee

UNITED STATES

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Seungha Shin

Research Interests

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Articles (12)

Short-range order effects on the thermodynamic behavior of Al CoCrFeNi high-entropy alloys

Structural Formation and Pore Control of Freeze-Cast Directional Graphene Aerogel (DGA)

Effects of edge-seal design on the mechanical and thermal performance of vacuum-insulated glazing

Effects of pillar design on the thermal performance of vacuum-insulated glazing

Investigation of microscopic mechanisms for water-ice phase change propagation control

Laser strengthening of additive manufactured edge seal for vacuum insulated glazing with micro-size glass frit

Effects of aluminum content on thermoelectric performance of Al<sub>x</sub>CoCrFeNi high-entropy alloys

Effects of mass and interaction mismatches on in-plane and cross-plane thermal transport of Si-doped graphene

Accelerated Atomic Data Production in Ab Initio Molecular Dynamics with Recurrent Neural Network for Materials Research

Femtosecond laser-induced non-thermal welding for a single Cu nanowire glucose sensor

Femtosecond laser-induced non-thermal welding for a single Cu nanowire glucose sensor

Interatomic Potential Model Development: Finite-Temperature Dynamics Machine Learning

Collaborators (3)

Anming Hu

Yongchao Yu

Kenneth D. Kihm

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