Sunghwan Choi

发表

Effects of the locality of a potential derived from hybrid density functionals on Kohn-Sham orbitals and excited states.

Sang-Yeon Hwang, W. Kim, Jaewook Kim, 2017, Physical chemistry chemical physics : PCCP.

Feasibility of Activation Energy Prediction of Gas-Phase Reactions by Machine Learning.

W. Kim, Sunghwan Choi, Yeonjoon Kim, 2018, Chemistry.

Outstanding performance of configuration interaction singles and doubles using exact exchange Kohn-Sham orbitals in real-space numerical grid method.

Jaechang Lim, W. Kim, Jaewook Kim, 2016, The Journal of chemical physics.

Fabrication and characterization of metal porous membrane made of Ni powder for hydrogen separation

S. H. Kim, S. Cho, Shin-Kun Ryi, 2006 .

Improvement of initial guess via grid-cutting for efficient grid-based density functional calculations

Jaechang Lim, W. Kim, Jaewook Kim, 2016 .

System-Specific Separable Basis Based on Tucker Decomposition: Application to Density Functional Calculations

W. Kim, Sunghwan Choi, Jeheon Woo, 2022, Journal of chemical theory and computation.

Importance of local exact exchange potential in hybrid functionals for accurate excited states

Sang-Yeon Hwang, W. Kim, Jaewook Kim, 2016, 1610.09113.

Update to ACE‐molecule: Projector augmented wave method on lagrange‐sinc basis set

W. Kim, Jaewook Kim, Kwangwoo Hong, 2016 .

Effect of Vergence–Accommodation Conflict and Parallax Difference on Binocular Fusion for Random Dot Stereogram

Kwanghoon Sohn, Donghyun Kim, Sunghwan Choi, 2012, IEEE Transactions on Circuits and Systems for Video Technology.

Fast Global Image Smoothing Based on Weighted Least Squares

Minh N. Do, Kwanghoon Sohn, Jiangbo Lu, 2014, IEEE Transactions on Image Processing.

Prediction of transition state structures of gas-phase chemical reactions via machine learning

Sunghwan Choi, 2023, Nature Communications.

ACE-Molecule: An open-source real-space quantum chemistry package.

Sungwoo Kang, Woo Youn Kim, Jaechang Lim, 2020, The Journal of chemical physics.

Efficient Basin-Hopping Sampling of Reaction Intermediates through Molecular Fragmentation and Graph Theory.

Woo Youn Kim, Sunghwan Choi, W. Kim, 2014, Journal of chemical theory and computation.

Visual fatigue modeling and analysis for stereoscopic video

Kwanghoon Sohn, Donghyun Kim, Jaeseob Choi, 2012 .

Visual fatigue evaluation and enhancement for 2D-plus-depth video

Kwanghoon Sohn, Donghyun Kim, Jaeseob Choi, 2010, 2010 IEEE International Conference on Image Processing.

Stereoscopic visual fatigue measurement based on fusional response curve and eye-blinks

Kwanghoon Sohn, Donghyun Kim, Sangil Park, 2011, 2011 17th International Conference on Digital Signal Processing (DSP).

On the achievement of high fidelity and scalability for large‐scale diagonalizations in grid‐based DFT simulations

Woo Youn Kim, Sunghwan Choi, Hoon Ryu, 2018 .

Configuration interaction singles based on the real-space numerical grid method: Kohn-Sham versus Hartree-Fock orbitals.

Sang-Yeon Hwang, Sunghwan Choi, Jaewook Kim, 2015, Physical chemistry chemical physics : PCCP.

Accuracy of Lagrange-sinc functions as a basis set for electronic structure calculations of atoms and molecules.

Woo Youn Kim, Sunghwan Choi, Jaewook Kim, 2015, The Journal of chemical physics.

A community-powered search of machine learning strategy space to find NMR property prediction models pdf

Youngsoo Lee, David R. Glowacki, J. Zico Kolter, 2020, PloS one.

Transfer Learning from Simulation to Experimental Data: NMR Chemical Shift Predictions.

Sunghwan Choi, Herim Han, 2021, The journal of physical chemistry letters.

Machine Learning Applications for Chemical Reactions

Sunghwan Choi, Sanggil Park, Hyungjun Kim, 2022, Chemistry, an Asian journal.

Efficient Basin-Hopping Sampling of Reaction Intermediates through Molecular Fragmentation and Graph Theory.

W. Kim, Sunghwan Choi, Yeonjoon Kim, 2014, Journal of chemical theory and computation.

Performance of heterogeneous computing with graphics processing unit and many integrated core for hartree potential calculations on a numerical grid

Jaewook Kim, Woo Youn Kim, Sunghwan Choi, 2016, J. Comput. Chem..

Selective Anti-Aliasing for Virtual Reality Based on Saliency Map

Mankyu Sung, Sunghwan Choi, Mankyu Sung, 2017, 2017 International Symposium on Ubiquitous Virtual Reality (ISUVR).

Energy refinement and analysis of structures in the QM9 database via a highly accurate quantum chemical method

Hyungjun Kim, Ji Young Park, Sunghwan Choi, 2019, Scientific Data.