| Maximizing the energy density and stability of Ni-rich layered cathode materials with multivalent dopants via machine learning M Kim, S Kang, HG Park, K Park, K Min Chemical Engineering Journal 452, 139254, 2023 | 27 | 2023 |
| Machine learning-aided materials design platform for predicting the mechanical properties of Na-ion solid-state electrolytes J Jo, E Choi, M Kim, K Min ACS Applied Energy Materials 4 (8), 7862-7869, 2021 | 24 | 2021 |
| Data-driven methods for predicting the state of health, state of charge, and remaining useful life of li-ion batteries: A comprehensive review E Kim, M Kim, J Kim, J Kim, JH Park, KT Kim, JH Park, T Kim, K Min International Journal of Precision Engineering and Manufacturing 24 (7 …, 2023 | 18 | 2023 |
| Evaluation of principal features for predicting bulk and shear modulus of inorganic solids with machine learning M Lee, M Kim, K Min Materials Today Communications 33, 104208, 2022 | 6 | 2022 |
| Discovery of superionic solid-state electrolyte for Li-ion batteries via machine learning S Kang, M Kim, K Min The Journal of Physical Chemistry C 127 (39), 19335-19343, 2023 | 4 | 2023 |
| A review of problems and solutions in Ni-rich cathode-based Li-ion batteries from two research aspects: Experimental studies and computational insights H Cho, J Kim, M Kim, H An, K Min, K Park Journal of Power Sources 597, 234132, 2024 | 3 | 2024 |
| Optimal Surrogate Models for Predicting the Elastic Moduli of Metal–Organic Frameworks via Multiscale Features J Lee, I Lee, J Park, H Kim, M Kim, K Min, S Lee Chemistry of Materials 35 (24), 10457-10475, 2023 | 2 | 2023 |
| Rapid discovery of promising materials via active learning with multi-objective optimization T Park, E Kim, J Sun, M Kim, E Hong, K Min Materials Today Communications 37, 107245, 2023 | 2 | 2023 |
| Prediction of protein aggregation propensity via Data-Driven approaches S Kang, M Kim, J Sun, M Lee, K Min ACS Biomaterials Science & Engineering 9 (11), 6451-6463, 2023 | 1 | 2023 |
| Active Learning Platform for Accelerating the Search for High-Voltage Cathode Materials in an Extensive Chemical Space H Kim, J Park, M Kim, J Lee, I Lee, K Min, S Lee The Journal of Physical Chemistry C 127 (38), 18902-18913, 2023 | 1 | 2023 |
| AR‐Enabled Persistent Human–Machine Interfaces via a Scalable Soft Electrode Array H Kim, HS Cha, M Kim, YJ Lee, H Yi, SH Lee, S Ira, H Kim, CH Im, ... Advanced Science 11 (7), 2305871, 2024 | | 2024 |
