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Professor

Seungwu Han (한승우)

TEL 02-880-1541

E-mail hansw@snu.ac.kr

Office Building 33, room 311

Short Bio

Seoul National University, Korea, B.S. Physics, Spring 1993

Seoul National University, Korea, M.S. Physics, Spring 1995

Seoul National University, Korea, Ph.D. Physics, Summer 2000

Postdoctor, Center for Strongly Correlated Materials Research, Seoul National University, 2000-2001

Postdoctor, Princeton Materials Institute, Princeton University, 2001-2003

Full-time lecturer, Dept. of Physics, Ewha Womans University, 2003-2004

Assistant Professor, Dept. of Physics, Ewha Womans University, 2004-2008

Associate Professor, Dept. of Physics, Ewha Womans University, 2008-2009

Associate Professor, Dept. of Materials Science and Engineering, Seoul National University, 2009-2013

Professor, Dept. of Materials Science and Engineering, Seoul National University, 2013-

Visiting Professor, Korea Institute for Advanced Study, 2015.9-2016.8

Postdoctoral Researchers

Wonseok Jeong (정원석)

TEL 02-880-1542

E-mail kensou3 at snu.ac.kr

Office Building 30, room 422

Research Area

Neural Network Atomic Potential

Paper List

Accelerated identification of equilibrium structures of multicomponent inorganic crystals using machine learning potentials (Submitted)1st author
High-throughput computational design of Li superionic conductors for all-solid-state Li-ion batteries (Submitted)1st author
Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials, npj Computational Materials (2021)
High-dimensional neural network atomic potentials for examining energy materials: some recent simulations, Journal of Physics: Energy (2021)
Training machine-learning potentials for crystal structure prediction using disordered structures, Physical Review B (2020)1st author
A band-gap database for semiconducting inorganic materials calculated with hybrid functional, Scientific Data (2020)
Efficient atomic-resolution uncertainty estimation for neural network potentials using a replica ensemble, The Journal of Physical Chemistry Letters (2020)1st author
Crystallization of amorphous GeTe simulated by neural network potential addressing medium-range order, Computational Materials Science (2020)
Atomic energy mapping of neural network potential, Physical Review Materials (2019)1st author
SIMPLE-NN: an efficient package for training and executing neural-network interatomic potentials, Computer Physics Communications (2019)
Towards reliable and transferable machine learning potentials: uniform training by overcoming sampling bias, Journal of Physical Chemistry C (2018)1st author
Structural effect on the oxygen evolution reaction in the electrochemical catalyst FePt, New Physics: Sae Mulli (2015)1st author

Ph.D candidates

Sungwoo Kang (강성우)

TEL 02-880-1542

E-mail kang1717 at snu.ac.kr

Office Building 30, room 422

Research Area

Electrochemical catalysts
Quantum dots
Crystal structure prediction

Paper List

First-principles calculations of luminescence spectra of real-scale quantum dots (Submitted)1st author
Accelerated identification of equilibrium structures of multicomponent inorganic crystals using machine learning potentials (Submitted)1st author
Observation of the back-donation π-bonding states near Fermi level with APRES (Submitted)
Vertically aligned MoS2 thin film catalysts with Fe-Ni sulfide nanoparticles by one-step sulfurization for efficient solar water reduction, Chemical Engineering Journal (2021)
Identification of active sites for CO2 reduction on graphene-supported single-atom catalysts, ChemSusChem (2021)
Density functional theory study of edge-induced atomic scale structural phase transitions of MoS2 nanocrystals: implications for a high-performance catalyst , ACS Applied Nano Materials (2021)
Production of C, N alternating two-dimensional materials using covalent modification and their electroluminescence performance, Small Science (2021)
Training machine-learning potentials for crystal structure prediction using disordered structures, Physical Review B (2020)1st author
Computational identification of transition-metal dichalcogenides for electrochemical CO2 reduction to highly reduced species beyond CO and HCOOH, The Journal of Physical Chemistry C (2020)1st author
Adatom doping of transition metals in ReSe2 nanosheets for enhanced electrocatalytic hydrogen evolution reaction, ACS Nano (2020)
Fundamental limit of the emission linewidths of quantum dots: an ab initio study of CdSe nanocrystals, ACS Applied Materials & Interfaces (2020)1st author
Anion extraction-induced polymorph control of transition metal dichalcogenides, Nano Letters (2019)1st author
Boosting the photocatalytic hydrogen evolution performance via an atomically thin 2D heterojunction visualized by scanning photoelectrochemical microscopy, Nano Energy (2019)
Influence of Bi doping on physical properties of lead halide perovskites: a comparative first-principles study between CsPbI3 and CsPbBr3, Materials Today Advances (2019)
Two-dimensional NbS2 gas sensors for selective and reversible NO2 detection at room temperature, ACS Sensors (2019)1st author
Unveiling electrochemical reaction pathways of CO2 reduction to CN species at S-vacancies of MoS2, ChemSusChem (2019)1st author
Role of hyper-reduced states in hydrogen evolution reaction at sulfur vacancy in MoS2, ACS Catalysis (2018)
Hydrogen evolution reaction at anion vacancy of two-dimensional transition metal dichalcogenides: ab initio computational screening, The Journal of Physical Chemistry Letters (2018)1st author
Directly assembled 3D molybdenum disulfide on silicon wafer for efficient photoelectrochemical water reduction, Advanced Sustainable Systems (2018)

Purun-hanul Kim (김푸른하늘)

TEL 02-882-1547

E-mail kbsky3396 at snu.ac.kr

Office Building 30, room 417

Sangmin Oh (오상민)

TEL 02-882-1547

E-mail gasplant64 at snu.ac.kr

Office Building 30, room 417

Jaehoon Kim (김재훈)

TEL 02-880-1542

E-mail wogns6992 at snu.ac.kr

Office Building 30, room 422

Jiho Lee (이지호)

TEL 02-880-1542

E-mail dlwlgh6319 at snu.ac.kr

Office Building 30, room 422

Minseok Moon (문민석)

TEL 02-880-1542

E-mail njs03019 at snu.ac.kr

Office Building 30, room 422

Jisu Kim (김지수)

TEL 02-880-1542

E-mail kskjs1203 at snu.ac.kr

Office Building 30, room 417

Former Ph.D. students

Eunae Cho (조은애)

Affiliation Samsung Electronics

Graduated in 2012/2

Sang Ho Jeon (전상호)

Affiliation Samsung Display

Graduated in 2012/8

Bora Lee (이보라)

Affiliation LG Chem

Graduated in 2012/8

Youngho Kang (강영호)

Affiliation Incheon National Univerisity

Graduated in 2015/8

Kye Yeop Kim (김계엽)

Affiliation Samsung Electronics

Graduated in 2017/2

Kanghoon Yim (임강훈)

Affiliation Korea Institute of Energy Research

Graduated in 2017/2

Joohee Lee (이주희)

Affiliation Samsung Display

Graduated in 2017/8

Yong Youn (윤용)

Affiliation Korea Institute of Energy Research

Graduated in 2018/8

Hochul Song (송호철)

Affiliation Samsung Display

Graduated in 2019/2

Gijae Kang (강기재)

Affiliation Samsung Electronics

Graduated in 2019/2

Kyuhyun Lee (이규현)

Affiliation Samsung Electronics

Graduated in 2019/8

Dongsun Yoo (유동선)

Affiliation Samsung Display

Graduated in 2020/2

Dongheon Lee (이동헌)

Affiliation IBS

Graduated in 2020/8

Miso Lee (이미소)

Affiliation Samsung Electronics

Graduated in 2020/8

Former M.S. student

Tae-Eun Kim (김태은)

Affiliation 천재교육

Sohee Park (박소희)

Graduated in 2012.2

Doyeon Kim (김도연)

Graduated in 2020.1

Former Post Doctors

Choongki Lee (이충기)

Affiliation Condensed Matter Physics, KIAS

Hyo-Shin Ahn (안효신)

Affiliation Samsung Electronics

Won-joon Son (손원준)

Affiliation Samsung Advanced Institue of Technology