| Jul 08, 2026 | Our paper using machine learning interatomic potentials to reveal how Ru cluster size reshapes the interfacial water structure governing alkaline hydrogen evolution has been published in Energy & Environmental Science, where I contributed as co-first author. |
| May 04, 2026 | Our paper on oxygen electrode reaction kinetics for reversible solid oxide cells has been published in Nature Energy, featuring large-scale simulations powered by CatBench-selected MLIPs. |
| Apr 03, 2026 | Our paper on angular relational knowledge distillation for accelerating machine learning interatomic potentials has been published in npj Computational Materials. |
| Nov 18, 2025 | Our paper on designing realistic single atom catalysts through machine learning interatomic potentials has been published in ACS Energy Letters. |
| Nov 17, 2025 | I am thrilled to announce that our first-author paper “CatBench framework for benchmarking machine learning interatomic potentials in adsorption energy predictions for heterogeneous catalysis” has been published in Cell Reports Physical Science! |
| Jun 05, 2025 | I have been selected as a recipient of the Presidential Science Scholarship of South Korea for PhD students. I will continue to work hard on my research with this great honor. |
| May 08, 2025 | Our research on understanding the oxygen evolution reaction mechanism in Ruthenium Oxide has been published in Chem as a first-author paper! |
| Jun 02, 2024 | Our review paper titled “Rise of machine learning potentials in heterogeneous catalysis: Developments, applications, and prospects” has been published in Chemical Engineering Journal. |
| Jan 01, 2024 | Our paper on theoretical tuning of metal-nitrogen doped carbon catalysts for selective chlorine-evolution reaction has been published in Catalysis Today. |
| Mar 01, 2023 | Our research on catalyst deactivation mechanism in non-oxidative dehydrogenation using DFT and kinetic Monte Carlo has been published in Catalysis Today. |