Jun Hyun Han

ORCID: 0000-0002-1909-2238
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About
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Research Areas
  • Aluminum Alloys Composites Properties
  • Microstructure and mechanical properties
  • Metallurgy and Material Forming
  • Aluminum Alloy Microstructure Properties
  • Metal Forming Simulation Techniques
  • Advanced ceramic materials synthesis
  • Microstructure and Mechanical Properties of Steels
  • Smart Grid and Power Systems
  • Shape Memory Alloy Transformations
  • Metallic Glasses and Amorphous Alloys
  • Power Systems and Renewable Energy
  • Metal and Thin Film Mechanics
  • Magnetic Properties and Applications
  • Nanowire Synthesis and Applications
  • Optimal Power Flow Distribution
  • Power Systems and Technologies
  • Electrodeposition and Electroless Coatings
  • Magnesium Alloys: Properties and Applications
  • Magnetic properties of thin films
  • Copper Interconnects and Reliability
  • Graphene research and applications
  • Power System Reliability and Maintenance
  • MXene and MAX Phase Materials
  • High-Temperature Coating Behaviors
  • Advanced Sensor and Energy Harvesting Materials

State Grid Corporation of China (China)
2021-2025

Chungnam National University
2015-2024

China Academy of Engineering Physics
2024

Fudan University
2024

Institute of Modern Physics
2024

Missouri University of Science and Technology
2022

Chongqing University
2012-2022

Hyundai Steel (South Korea)
2020

Tongji University
2012-2019

Xi'an Technological University
2019

This research demonstrates an application of artificial neural networks (ANN) for watershed-runoff and stream-flow forecasts. A watershed runoff prediction model was developed to predict stormwater at a gauged location near the outlet. Another stream flow forecasting formulated forecast river flows downstream locations along same channel. Input data both models include current preceding records rainfall gathered outlet locations. Computational algorithms were based on commercially available...

10.1061/(asce)1084-0699(2005)10:3(216) article EN Journal of Hydrologic Engineering 2005-04-20

10.1023/a:1021197328946 article EN Journal of Materials Science 2003-01-01

In this study, the pristine MgO, MgO/CNT and Ni-MgO/CNT nanocomposites were processed using impregnation chemical vapor deposition methods analyzed for hydrogen evolution reaction (HER) electrochemical water splitting process. Furthermore, effect of nickel on deposited carbon was systematically elaborated in study. The highly conductive nanotubes (CNTs) metal surface Ni-MgO nanocomposite heterostructure provides a robust stability superior electrocatalytic activity. optimized exhibited...

10.3390/nano14030280 article EN cc-by Nanomaterials 2024-01-29

Faults may occur on transmission lines, which damage power equipment or even cause large-scale outages. Accurate fault location technology is very important to ensure reliable operation of the system. In this article, a single-ended model-based phasor domain method for ultra high voltage lines proposed. The proposed only requires local measurement information and does not require communication synchronization technology, low-cost friendly practical applications. existing Eriksson widely...

10.1049/icp.2024.2508 article EN IET conference proceedings. 2025-01-01

6061 aluminum (Al) alloys were asymmetrically rolled to apply shear deformation, and the effects of pre/post-aging treatment on mechanical properties texture evolution analyzed. The was analyzed using electron backscattered diffraction (EBSD), formability planar anisotropy specimen evaluated r¯-value Δr-value calculated from plastic strain ratios (r-values). Regardless aging conditions (no aging, pre-aging, post-aging), asymmetric rolling yielded higher strength than symmetric rolling....

10.1016/j.jmrt.2023.05.164 article EN cc-by Journal of Materials Research and Technology 2023-05-01

The phenomenon of hydrogen embrittlement (HE) in metals and alloys, which determines the performance components environments, has recently been drawing considerable attention. This study explores interplay between strain rates solute inducing HE Ti6Al4V alloy. For hydrogen-charged sample, as rate was decreased from 10

10.3390/ma17051100 article EN Materials 2024-02-28
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