Material simulation expert consulting

MatSQ Consulting

Ask the experts for the material issues you are facing.

Virtual Lab's simulation experts with consulting cases in various fields will consult directly at your research site.

Analysis

- To find critical structural information that affects material properties

- To solve material development problems

Design

- To design new materials

Modeling

- To develop methodology for predicting material properties

Consultant Profile

Kim YeongKwang, Ph.d.

Education

Sep. 2013 - Aug. 2018 :

M. S. /Ph.D.
Dept. of Materials Science and Engineering,
Pohang University of Science and Technology
Advisor: Prof. Byeong-Joo Lee

Mar. 2007 - Feb. 2013 :

B.S.
Dept. of Materials Science and Engineering,
Pohang University of Science and Technology

Experience

Sep. 2019 - Present :

Professional Consultant
Virtual Lab. Inc.

Sep. 2019 - Present :

Visiting Researcher
College of Applied Science,
Kyung Hee University

Aug. 2018 - Aug. 2019 :

Postdoctoral Researcher
The Center for Advanced Aerospace Materials,
Pohang University of Science and Technology

Field of Specialization

Analyses for materials phenomena using computational techiniques
(CALPHAD/MD/DFT/MatCalc/CFD)

Design and fabrication of new materials using computational techniques and machine learning.

Research

Complete Research

Design of Ni-base superalloys

Collaborating with ADD and KIMS

- Development of the methodology to design Ni-base superalloys
- Designs of new Ni-base superalloys

Corresponding goverment projects

- Development of computational design approaches based on atomistic simulation for Ni-base superalloys, Korea Institute of Science and Technology (KIST), Korea, 2013.1 ~ 2015.12
- Development of computational alloying design method for Ni-base powder disk superalloys, Agency for Defense Development (ADD), Korea, 2013.7 ~ 2018.8

Publications

- Kim, Young-Kwang et al. 2018. “A Numerical Model to Predict Mechanical Properties of Ni-Base Disk Superalloys.” International Journal of Plasticity 110: 123–44.
- Kim, Young-Kwang, Hong-Kyu Kim, Woo-Sang Jung, and Byeong-Joo Lee. 2017. “Development and Application of Ni-Ti and Ni-Al-Ti 2NN-MEAM Interatomic Potentials for Ni-Base Superalloys.” Computational Materials Science.
- Kim, Young-Kwang, Hong-Kyu Kim, Woo-Sang Jung, and Byeong-Joo Lee. 2016. “Atomistic Modeling of the Ti–Al Binary System.” Computational Materials Science 119: 1–8.
- Kim, Young-Kwang et al. 2016. “An Intermediate Temperature Creep Model for Ni-Based Superalloys.” International Journal of Plasticity 79: 153–75.
- Kim, Y.-K., W.-S. Jung, and B.-J. Lee. 2015. “Modified Embedded-Atom Method Interatomic Potentials for the Ni-Co Binary and the Ni-Al-Co Ternary Systems.” Modelling and Simulation in Materials Science and Engineering 23(5).

Patents

- H.-K. Kim, D. Kim, B.-J. Lee, Y.-K. Kim, Method for designing high strength Ni-based powder superalloys, KR 10-1862059, South Korea (Registration).
- 김홍규, 김동훈, 이병주, 김영광, 니켈기 초내열 합금 전산 합금 설계 프로그램, 164171-0003056 (저작권 등록).
- H.-K. Kim, D. Kim, S.-S. Hong, B.-J. Lee, Y.-K. Kim, High strength in Ni-base powder superalloys having high strain hardening capability, KR 10-2016-0178328, South Korea (Application).

Ongoing Research

Discovery of New Thrmoelectric Materials

Collaborating with Kyung Hee University

- Analysis of topological insulators as aspects of thermoelectric materials
- Challenge of finding new thermoelectric materials using DFT and machine learining.

The schema of thermoelectric power generation

Publications

- Back, Song Yi et al. 2018. “Enhancement of Thermoelectric Properties by Lattice Softening and Energy Band Gap Control in Te-Deficient InTe 1- δ.” AIP Advances 8(11): 115227.

Development of machine learning platform to design and fabricate metallic nano powders

Collaborating with POSTECH, RIST, and Handong University

- Design of web platform for the correlation analysis
- Design of web platform for the machine learning algorithm
- Building materials data generation systems

Scheme of web platform for designing and fabricating metallic nano powders

Corresponding government projects

- Development of machine learning platform for design and fabrication of metallic nano-powders, Korea Evaluation Institute of Industrial Technology, Korea (2018.7 ~ present)

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