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

Ph.D candidates

Kyeongpung Lee (이경풍)

TEL 02-882-1547

E-mail bread93@snu.ac.kr

Office Building 30, room 417

Research Area

First principles calculation on amorphous non-volatile memory materials

Paper List

Ab initio construction of full phase diagram of MgO-CaO eutectic system using neural network interatomic potentials, Physical Review Materials (2022)^{1st author}
Accelerated computation of lattice thermal conductivity using neural network interatomic potentials, Computational Materials Science (2022)^{1st author}
Suppression of metal-to-insulator transition using strong interfacial coupling at cubic and orthorhombic perovskite oxide heterointerfaces, Nanoscale (2021)
Training machine-learning potentials for crystal structure prediction using disordered structures, Physical Review B (2020)
Crystallization of amorphous GeTe simulated by neural network potential addressing medium-range order, Computational Materials Science (2020)^{1st author}
First-principles calculations on effects of Al and Ga dopants on atomic and electronic structures of amorphous Ge₂Sb₂Te₅, Journal of Applied Physics (2019)
First-principles study on the negative-U behavior of K centers in amorphous Si₃N_4-x, Physical Review Applied (2018)

Suyeon Ju (주수연)

TEL 02-880-1542

E-mail cindy2069@snu.ac.kr

Office Building 30, room 422

Paper List

Reconfigurable surface oxygen control method for enhancing the performance of semiconducting metal oxide gas sensors (Submitted)
In-memory-computed low-frequency noise spectroscopy for selective gas detection using a reducible metal oxide, Advanced Science (2023)
Training machine-learning potentials for crystal structure prediction using disordered structures, Physical Review B (2020)
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)
Adatom doping of transition metals in ReSe₂ nanosheets for enhanced electrocatalytic hydrogen evolution reaction, ACS Nano (2020)^{1st author}

Jisu Jung (정지수)

TEL 02-882-1547

E-mail wjdwltn928@snu.ac.kr

Office Building 30, room 417

Paper List

Atomistic kinetic Monte Carlo simulation on atomic layer deposition of TiN thin film, Computational Materials Science (2022)
Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials, npj Computational Materials (2021)^{1st author}
Training machine-learning potentials for crystal structure prediction using disordered structures, Physical Review B (2020)
AMP²: a fully automated program for ab initio calculations of crystalline materials, Computer Physics Communications (2020)
Efficient atomic-resolution uncertainty estimation for neural network potentials using a replica ensemble, The Journal of Physical Chemistry Letters (2020)

Changho Hong (홍창호)

TEL 02-880-1542

E-mail mk01071@snu.ac.kr

Office Building 30, room 422

Paper List

Accelerated identification of equilibrium structures of multicomponent inorganic crystals using machine learning potentials, npj Computational Materials (2022)
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)
AMP²: a fully automated program for ab initio calculations of crystalline materials, Computer Physics Communications (2020)

Deokgi Hong (홍덕기)

TEL 02-880-1542

E-mail hdk8853@snu.ac.kr

Office Building 30, room 422

Research Area

Paper List

Robust Co alloy design for Co interconnects using a self-forming barrier layer, Scientific Reports (2022)
Electrochemical carbon dioxide reduction on copper–zinc alloys: ethanol and ethylene selectivity analysis, Journal of Materials Chemistry A (2022) ^{1st author}
Phase engineering of transition metal dichalcogenides via a thermodynamically designed gas−solid reaction, Journal of Physical Chemistry Letters (2021) ^{1st author}
Thermodynamically driven self-formation of Ag nanoparticles in Zn-embedded carbon nanofibers for efficient electrochemical CO₂ reduction, RSC Advances (2021)
Quasi-graphitic carbon shell-induced Cu confinement promotes electrocatalytic CO₂ reduction toward C₂₊ products, Nature Communications (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)
Thermodynamically driven self-formation of copper-embedded nitrogen-doped carbon nanofiber catalysts for a cascade electroreduction of carbon dioxide to ethylene, Journal of Materials Chemistry A (2020)