| Atomic structure modification of Fe‒N‒C catalysts via morphology engineering of graphene for enhanced conversion kinetics of lithium–sulfur batteries J Kim, SJ Kim, E Jung, DH Mok, VK Paidi, J Lee, HS Lee, Y Jeoun, W Ko, ... Advanced Functional Materials 32 (19), 2110857, 2022 | 57 | 2022 |
| Electrochemical hydrogen peroxide synthesis from selective oxygen reduction over metal selenide catalysts Q Yuan, J Zhao, DH Mok, Z Zheng, Y Ye, C Liang, L Zhou, S Back, ... Nano letters 22 (3), 1257-1264, 2021 | 47 | 2021 |
| Combined High-Throughput DFT and ML Screening of Transition Metal Nitrides for Electrochemical CO2 Reduction AG Yohannes, C Lee, P Talebi, DH Mok, M Karamad, S Back, ... ACS Catalysis 13 (13), 9007-9017, 2023 | 8 | 2023 |
| Facet-Defined Strain-Free Spinel Oxide for Oxygen Reduction J Jo, JM Yoo, DH Mok, HY Jang, J Kim, W Ko, K Yeom, MS Bootharaju, ... Nano Letters 22 (9), 3636-3644, 2022 | 8 | 2022 |
| Atomic structure-free representation of active motifs for expedited catalyst discovery DH Mok, S Back Journal of Chemical Information and Modeling 61 (9), 4514-4520, 2021 | 8 | 2021 |
| Data-driven discovery of electrocatalysts for CO2 reduction using active motifs-based machine learning DH Mok, H Li, G Zhang, C Lee, K Jiang, S Back Nature Communications 14 (1), 7303, 2023 | 4 | 2023 |
| Direction-based graph representation to accelerate stable catalyst discovery DH Mok, J Kim, S Back Chemistry of Materials 35 (1), 63-70, 2022 | 4 | 2022 |
| Accelerating the Search for New Solid Electrolytes: Exploring Vast Chemical Space with Machine Learning-Enabled Computational Calculations J Kim, DH Mok, H Kim, S Back ACS Applied Materials & Interfaces 15 (45), 52427-52435, 2023 | 2 | 2023 |
| Atomic Structure Modification of Fe‒N‒C Catalysts via Morphology Engineering of Graphene for Enhanced Conversion Kinetics of Lithium–Sulfur Batteries (Adv. Funct. Mater. 19/2022) J Kim, SJ Kim, E Jung, DH Mok, VK Paidi, J Lee, HS Lee, Y Jeoun, W Ko, ... Advanced Functional Materials 32 (19), 2270108, 2022 | 2 | 2022 |
| Unraveling Surface Reconstruction During Oxygen Evolution Reaction on the Defined Spinel Oxide Surface K Yeom, J Jo, H Shin, H Ji, S Moon, JE Park, S Lee, J Shim, DH Mok, ... Advanced Functional Materials, 2401095, 2024 | 1 | 2024 |
| A chemically inspired convolutional neural network using electronic structure representation DH Mok, D Shin, J Na, S Back Journal of Materials Chemistry A 11 (19), 10184-10194, 2023 | 1 | 2023 |
| Validating ΔΔG Selectivity Descriptor for Electrosynthesis of H2O2 from Oxygen Reduction Reaction DH Mok, S Back, S Siahrostami Angewandte Chemie, e202404677, 2024 | | 2024 |
| Physics-Guided Autonomous Design for Acid-Stable Water Oxidation Catalyst A Han, Y Lee, DH Mok, S Back, YJ Sa, J Na 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Explainable formation energy prediction for uncovering the relationship between the electronic structure and stability of the heterogeneous catalyst D Shin, DH Mok, S Back, J Na Computer Aided Chemical Engineering 52, 691-696, 2023 | | 2023 |
| 계산화학과 기계학습을 이용한 촉매 개발 목동현， 이우석， 김종승， 정현동， 장호연， 문성진， 이채현， 백서인 세라미스트 25 (2), 126-144, 2022 | | 2022 |
| 계산화학과 기계학습을 이용한 촉매 개발 DH Mok, WS Lee, JS Kim, HD Jung, HY Jang, SJ Moon, CH Lee, S Back | | |
Seoin BackSogang UniversityVerified email at sogang.ac.kr
