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ACS Applied Materials & Interfaces|July 27, 2023
Screening Platform for Promising Na Superionic Conductors for Na-Ion Solid-State ElectrolytesJuo Kim, Seungpyo Kang, Kyoungmin MinRSC Advances|October 4, 2024
Enhancing protein aggregation prediction: a unified analysis leveraging graph convolutional networks and active learningJiwon Sun, JunHo Song, Juo Kim, et al.ACS Applied Materials & Interfaces|January 19, 2023
Accelerated Discovery of Novel Garnet-Type Solid-State Electrolyte Candidates via Machine LearningJiwon Sun, Seungpyo Kang, Joonchul Kim, et al.ACS Applied Materials & Interfaces|May 2, 2024
Machine-Learning-Driven High-Throughput Screening for High-Energy Density and Stable NASICON CathodesJinyoung Jeong, Juo Kim, Jiwon Sun, et al.ACS Biomaterials Science & Engineering|October 16, 2023
Prediction of Protein Aggregation Propensity via Data-Driven ApproachesSeungpyo Kang, Minseon Kim, Jiwon Sun, et al.ACS Applied Materials & Interfaces|October 3, 2025
Evaluating Machine Learning Interatomic Potentials for Accurate and Scalable Modeling of Organometallic PrecursorsSeungpyo Kang, JunHo Song, Jinyoung Jeong, et al.Journal of Chemical Information and Modeling|October 1, 2024
Integrating Data Mining and Natural Language Processing to Construct a Melting Point Database for Organometallic CompoundsJinyoung Jeong, Taehyun Park, JunHo Song, et al.ACS Applied Materials & Interfaces|August 25, 2025
Cation-Disordered High-Entropy Garnet Structures as Solid-State Electrolytes for All-Solid-State Batteries: Machine Learning-Driven DiscoveryJiwon Sun, JunHo Song, Juo Kim, et al.Lab on a Chip|December 17, 2025
Capillary-driven, superhydrophilic microfluidic retainer for continuous salivary glucose monitoringJimin Lee, JunHo Song, Juo Kim, et al.Physical Chemistry Chemical Physics : PCCP|May 18, 2022
Dual doping with cations and anions for enhancing the structural stability of the sodium-ion layered cathodeKyoungmin MinPageof 5