Introduction
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We are the research team led by Dr. Donghun Kim, rooted at Computational Science Research Center of KIST, Korea. We are intereseted in establishing large/systematic database and using AI techniques (빅데이터/인공지능) in materials science and engineering, ultimately aiming to maximize the efficiency of material development process. Research projects of current investigation can be summarized as below.
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Data/AI-driven design of energy and environmental materials (catalysis and solar cells)
AI-based material characterization (X-ray CT, X-ray diffraction, electron microscopy)
-삼성미래기술육성사업
Robotics/AI-based autonomous material developments (catalysis, display)
-AI스마트연구실사업 (과기부)
Natural language processing for data extractions in materials science literature
-소재연구데이터사업 (과기부)
Open Positions
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We currently have 2 open positions for PhD students or postdocs with the background in materials science, computer science and other related fields. If interested in joining us, please contact Dr. Donghun Kim directly.
Recent News
Leslie's work of developing ML models that enhances the practicality in material property prediction is published in The Journal of Physical Chemistry Letters. Many congratulations! 2021.08.22
Leslie's work of using AI to classify crystal symmetries is published in npj Computational Materials. Many congratulations! 2020.11.18
Donghun is selected as an awardee of 2020 KIST Young Fellow.2020.04.26
Donghun wins the award from the chairman of the board of NST (국가과학기술연구회 이사장상) for acknowledging the contributions to improving QD solar cells.2020.04.14
A review article entitled "인공지능 기반 소재설계 연구동향 (Research Trends of AI-Driven Materials Science)" (발행기관: 대한금속재료학회) is now available. 2019.02.02
Myungjoon's work of using AI to accelerate catalyst discovery is published in Chemistry of Materials. Many congratulations! 2020.01.14
Our work to improve photovoltage in QD solar cells is published as a front cover article in Adv. Energy Mater. The work is featured in 연합뉴스. 2019.11.28
We are selected for a research grant from Samsung Electronics (삼성미래기술육성사업) to develop a AI-based tool to predict material fracture behavior. Our selection was featured in 국민일보, 연합뉴스, 동아일보. 2019.10.02
Sungyeon's work of revealing the hidden topology in amorphous ices is published in J. Phys. Cond. Matt. Many congratulations! 2019.08.19
The work of DFT-guided catalyst development for hydrogen peroxide production is published in ACS Catalysis. 2019.08.09
Dr. Leslie Tiong joins the team. Leslie is a deep learning expert in computer vision. A warm welcome! 2019.04.22
The machine learning work of electronic density of states is published in Scientific Reports. 2019.04.10
A review article entitled "인공지능, 소재개발에 침투하다 (AI in Materials Science)" (발행기관: 융합연구정책센터) is now available. 2019.01.10
Our work of novel ferroelectrics for enhanced photovoltaic responses is published in Proc Natl Acad Sci (PNAS). The work is featured in 뉴스웍스, 대덕넷. 2018.06.11
Our work of Stokes shift of PbS quantum dots is published in ACS Nano. The work is featured in Advances in Engineering, 동아사이언스. 2018.03.07