Wonseok Jeong

发表

Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials

Seungwu Han, Dongsun Yoo, Jisu Jung, 2020, npj Computational Materials.

High-dimensional neural network atomic potentials for examining energy materials: some recent simulations

Seungwu Han, Wonseok Jeong, Satoshi Watanabe, 2020, Journal of Physics: Energy.

Accelerated computation of lattice thermal conductivity using neural network interatomic potentials

Seungwu Han, Sangtae Kim, Wonseok Jeong, 2022, Computational Materials Science.

Training machine-learning potentials for crystal structure prediction using disordered structures

Seungwu Han, Jisu Jung, Wonseok Jeong, 2020, Physical Review B.

Athermal Glass Work at Nanoscale: Engineered Electron Beam Induced Visco-Plasticity for Mechanical Shaping of Brittle Amorphous Silica

Seungwu Han, S. Boles, Wonseok Jeong, 2022, SSRN Electronic Journal.

A band-gap database for semiconducting inorganic materials calculated with hybrid functional

Seungwu Han, Sangtae Kim, Dongsun Yoo, 2020, Scientific data.

SIMPLE-NN: An efficient package for training and executing neural-network interatomic potentials

Seungwu Han, Wonseok Jeong, Dongsun Yoo, 2019, Comput. Phys. Commun..

Toward Reliable and Transferable Machine Learning Potentials: Uniform Training by Overcoming Sampling Bias

Dongheon Lee, Wonseok Jeong, Dongsun Yoo, 2018, The Journal of Physical Chemistry C.

Atomic energy mapping of neural network potential

Seungwu Han, Satoshi Watanabe, Wonseok Jeong, 2019, Physical Review Materials.

Efficient and Atomic-Resolution Uncertainty Estimation for Neural Network Potentials Using Replica Ensemble.

Wonseok Jeong, Dongsun Yoo, Kyuhyun Lee, 2020, The journal of physical chemistry letters.

Harnessing Neural Networks for Elucidating X-ray Absorption Structure–Spectrum Relationships in Amorphous Carbon

Matthew R. Carbone, D. Lu, T. Pham, 2023, The Journal of Physical Chemistry C.

Stability and Equilibrium Structures of Unknown Ternary Metal Oxides Explored by Machine-Learned Potentials.

Seungwu Han, Jisu Jung, Wonseok Jeong, 2023, Journal of the American Chemical Society.

Electrochemical Degradation of Pt3Co Nanoparticles Investigated by Off-Lattice Kinetic Monte Carlo Simulations with Machine-Learned Potentials

Jisu Jung, Wonseok Jeong, Sungwoo Kang, 2023, ACS Catalysis.

Athermal glass work at the nanoscale: Engineered electron-beam-induced viscoplasticity for mechanical shaping of brittle amorphous silica

Seungwu Han, S. Boles, Wonseok Jeong, 2022, Acta Materialia.