Myung Jun Kim

Assistant Professor

Kyungpook National University

South Korea

Research Interests

Explore related searches

Professors in South Korea

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Myung Jun Kim is an Assistant Professor at Kyung Hee University, South Korea. His research areas include electrodeposition techniques, machine learning applications in materials science, and electrocatalysis. Recent articles reflect his focus on the formation of metal structures, the enhancement of electrochemical reactions, and the application of predictive algorithms in analyzing copper electrolytes.

Articles (27)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (4)

Hyo Eun Bae

Seoul National University

SOUTH KOREA

View details

Kyeong-Rim Yeo

Chung-Ang University

SOUTH KOREA

View details

junyoung mun

Incheon National University

SOUTH KOREA

View details

Oh Joong Kwon

Incheon National University

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Myung Jun Kim

Research Interests

Explore related searches

Contact this professor

About

Articles (27)

Formation of twin structures via Cu electrodeposition with SPS and Cl-

Extrapolability of machine learning for determining additive concentrations in copper electrolyte

Pulse electrodeposition of Sn-Bi low-temperature solder with phloroglucinol

Iridium‐Based Mixed Transition Metal Oxide (Ir3MOx, M = Ni, Co, Fe) Incorporated in the Conducting Layer as an Electrocatalyst for Boosting the Oxygen Evolution Reaction

Quantitative analyses of DPS and PEG-PPG in Cu electrolyte using machine learning with artificial neural network

Quantitative analyses of DPS and PEG-PPG in Cu electrolyte using machine learning with artificial neural network

Amorphous IrOx nanoparticles on N-doped carbon matrix islands for enhancing proton exchange membrane water electrolysis

Forecasting realized volatility of the oil future prices via machine learning

Pretreatments for photoresist-patterned wafer to improve Cu pillar electrodeposition

Prevention of radiotherapy-induced pro-tumorigenic microenvironment by SFK inhibitors

Synergistic effect of CTA+ and Br- on defect-free TSV filling by Cu electrodeposition

Enhancing Proton Exchange Membrane Water Electrolysis with a Checkered Carbon Matrix Containing Ir‐Ru Nanoparticles

Cu microvia filling by pulse-reverse electrodeposition with a single accelerator

Enhancement of heat dissipation in β-Ga2O3 Schottky diodes through Cu-filled thermal vias: experimental and simulation investigations

A cracked carbon matrix decorated with amorphous IrOx for boosting the oxygen evolution reaction in electrochemical water splitting

Heat Treatment for Enhancing Ir-Based Catalysts Enclosed in a Carbon Layer for Electrochemical Oxygen Evolution Reaction

Cu TSV Filling with Cetyltrimethyl Ammonium Cations (CTA+) and Br-

Electrodeposition of Cu Nanocubes in the Presence of Cl- and Br-

Electrodeposition of Nano-Twinned Cu and their Applications in Electronics

Shape Control of Metal Nanostructures by Electrodeposition and their Applications in Electrocatalysis

Improving the Performance of Aqueous Zinc‐ion Batteries by Inhibiting Zinc Dendrite Growth: Recent Progress

Quaternary ammonium-based levelers for high-speed microvia filling via Cu electrodeposition

Eight-Fold Intensification of Electrochemical Azidooxygenation with a Flow-Through Electrode

Through Silicon Via Filling with Suppression Breakdown of PEG–Br– in Absence of Accelerator

The effects of polyvinylpyrrolidone molecular weight on defect-free filling of through-glass vias (TGVs)

Understanding the Solution-Phase Growth of Cu and Ag Nanowires and Nanocubes from First Principles

Impact of Surface Hydrophilicity on Electrochemical Water Splitting

Collaborators (4)

Hyo Eun Bae

Kyeong-Rim Yeo

junyoung mun

Oh Joong Kwon

Make your next move.