Research collaborators
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Professor Dr. Habil. Catherine Stampfl FAA FRSN
2023 Georgina Sweet Australian Laureate Fellow
Condensed Matter Theory (CMT) Group, School of Physics, University of Sydney, Sydney, Australia
Theoretical surface and interface science
Designing molecular/solid catalyst for carbon-zero energy technologies
First-principles investigations of quantum emitters
Collaboration: Digital surface science with natural intelligence algorithm development
Professor Unyong Jeong 정운룡
Hybrid Nano Materials Laboratory, Department of Materials Science & Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea
Materials design for stretchable electronics
Electronic skin sensor system
Micro-scale assembly and patterning process
Collaboration: Surface-mediated anti-corrosive mechanisms in metals
Professor Dr. -Ing Jun Huang 黄俊
Laboratory for Catalysis Engineering, School of Chemical & Biomolecular Engineering, University of Sydney, Sydney, Australia
Nano-catalysts for renewable energy production and green chemical process
Advanced NMR spectroscopy for catalysis
In/ex situ spectroscopic and microscopic characterisation of materials and chemical reactions
Collaboration: Catalytic reactions and mechanisms for clean energy production
Professor Jungdae Kim 김정대
Nanoscale Surface Science Laboratory (NSSL), Department of Physics, University of Ulsan, Ulsan, Republic of Korea
Low-temperature scanning tunneling microscopy (LT- STM)
Oxidation of metal surfaces
Low-dimensional nanomaterials
Collaboration: Interpreting experimental STM images of supported low-dimensional nanostructures
Professor Kwanpyo Kim 김관표
Experimental Nanoscale Physics Laboratory (ENPL), Department of Physics, Yonsei University, Seoul, Republic of Korea
2D materials: Phosphorene, graphene, h-BN, and many more
Novel transmission electron microscopy (TEM)
Nanoelectromechanical systems (NEMS)
Collaboration: Data-driven models for novel low-dimensional structures guided by STEM experiments
Professor Xuyang Liu 刘许旸
College of Aerospace Engineering, Chongqing University, Chongqing, People's Republic of China
Data-driven materials design and development (Theory and experiments)
Multi-scale approaches for key technological processes
Strengthening and toughening of high-performance materials for aerospace technologies
Collaboration: Decoding and controlling degradation processes in high-strength light metal alloys via multi-scale computational materials framework with experimental validation
Dr. techn. Krisztián Palotás
Department of Theoretical Solid State Physics, Institute for Solid State Physics and Optics, Wigner Research Center for Physics, Hungarian Academy of Sciences, Budapest, Hungary
Microscopic origin of chiral shape induction in chiral crystals
Chen's derivative rules for tip-orbital interference effects in scanning tunnelling microscopy (STM)
Magnetic skyrmions with tunable properties
Collaboration: Augmenting new functionalities to the autobskan code for STM modeling
Associate Professor Woosun Jang 장우선
Computational Energy Materials Laboratory (CEML), Integrated Science & Engineering Division, Underwood International College, Yonsei University, Incheon, Republic of Korea
Data-driven materials design and discovery
Computational materials characterization
Computational nanomaterials engineering
Energy storage and production systems
Collaboration: Developing new platforms for digital materials science
Assistant Professor Taehun Lee 이태훈
Computational Materials & Interfaces Research Group, Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea
Solvated surfaces of oxides for (photo)catalysis
Defect physics in oxides and related materials
Computational interface science for energy technologies
Collaboration: AI-guided computational surface science for new energy technologies
Assistant Professor Kisung Kang 강기성
Materials Informatics and Theory Laboratory (MINT Lab), School of Materials Science & Engineering, Chonnam National University, Gwangju, Republic of Korea
First-principles investigations of dynamic processes in materials
Design of novel low-dimensional nanomaterials
Active-learned machine-learning interatomic potentials for large-scale lattice dynamics modeling
Ab initio theory and models for describing magnetism in materials
Collaboration: Machine-learning models and informatics for large-scale materials simulations
Dr. Lee Giyeok 이기역
Condensed Matter Theory (CMT) Group, School of Physics, University of Sydney, Sydney, Australia
Global optimization of low-dimensional surface structures via nature-inspired collective intelligence algorithms
Surface oxidation: In search of new and novel surface oxide structures on metal surfaces
Collaboration: Developing new and smart algorithms for global optimization using hybrid artificial and natural intelligence algorithms
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