Dongsun Yoo

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.

Computational discovery of p-type transparent oxide semiconductors using hydrogen descriptor

Seungwu Han, Dongsun Yoo, Yong Youn, 2018, npj Computational Materials.

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.

A molecular dynamics study on the interface morphology of vapor-deposited amorphous organic thin films.

Seungwu Han, Dongsun Yoo, Yong Youn, 2019, Physical chemistry chemical physics : PCCP.

All-atom simulation of molecular orientation in vapor-deposited organic light-emitting diodes

Dongsun Yoo, Seungwu Han, Yong Youn, 2018 .

Crystallization of amorphous GeTe simulated by neural network potential addressing medium-range order

Dongsun Yoo, Seungwu Han, Seungwu Han, 2020 .