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Journal of Chemical Information and Modeling|November 21, 2024
Matini-Net: Versatile Material Informatics Research Framework for Feature Engineering and Deep Neural Network DesignMyeonghun Lee, Taehyun Park, Kyoungmin MinACS Omega|February 7, 2022
A Comparative Study of the Performance for Predicting Biodegradability Classification: The Quantitative Structure-Activity Relationship Model vs the Graph Convolutional NetworkMyeonghun Lee, Kyoungmin MinBiochemistry|August 25, 2023
AmorProt: Amino Acid Molecular Fingerprints Repurposing-Based Protein FingerprintMyeonghun Lee, Kyoungmin MinJournal of Chemical Information and Modeling|June 6, 2022
MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational AutoencoderMyeonghun Lee, Kyoungmin MinACS Biomaterials Science & Engineering|October 16, 2023
Prediction of Protein Aggregation Propensity via Data-Driven ApproachesSeungpyo Kang, Minseon Kim, Jiwon Sun, et al.ACS Omega|April 22, 2022
Novel Solubility Prediction Models: Molecular Fingerprints and Physicochemical Features vs Graph Convolutional Neural NetworksSumin Lee, Myeonghun Lee, Ki-Won Gyak, 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.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 11