Kihoon Bang
Beijing Computational Science Research Center(CN)Korea Institute of Science and Technology(KR)
Publications by Year
Research Areas
Machine Learning in Materials Science, Electrocatalysts for Energy Conversion, Catalytic Processes in Materials Science, Fuel Cells and Related Materials, CO2 Reduction Techniques and Catalysts
Most-Cited Works
- → Synthesis of Chemically Ordered Pt3Fe/C Intermetallic Electrocatalysts for Oxygen Reduction Reaction with Enhanced Activity and Durability via a Removable Carbon Coating(2017)99 cited
- → Machine learning assisted synthesis of lithium-ion batteries cathode materials(2022)80 cited
- → Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration(2021)62 cited
- → Machine learning-enabled exploration of the electrochemical stability of real-scale metallic nanoparticles(2023)55 cited
- → Accelerated mapping of electronic density of states patterns of metallic nanoparticles via machine-learning(2021)27 cited
- → Machine learning filters out efficient electrocatalysts in the massive ternary alloy space for fuel cells(2023)22 cited
- → CO oxidation by MoS2-supported Au19 nanoparticles: effects of vacancy formation and tensile strain(2016)16 cited
- → Deep learning of electrochemical CO2 conversion literature reveals research trends and directions(2023)15 cited
- → Inverse design for materials discovery from the multidimensional electronic density of states(2024)11 cited
- → Recent Progress in First Principle Calculation and High-Throughput Screening of Electrocatalysts: A Review(2019)9 cited