Publications by authors named "Kyoungmin Min"

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Capillary-driven, superhydrophilic microfluidic retainer for continuous salivary glucose monitoring.
Jimin Lee, JunHo Song, Juo Kim, Arianna Lee, Saewoong Oh, Kyoungmin Min

Lab Chip· December 2025

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Evaluating Machine Learning Interatomic Potentials for Accurate and Scalable Modeling of Organometallic Precursors.
Seungpyo Kang, JunHo Song, Jinyoung Jeong, Taehyun Park, Joonghee Won, Kyoungmin Min

ACS Appl Mater Interfaces· October 2025

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Cation-Disordered High-Entropy Garnet Structures as Solid-State Electrolytes for All-Solid-State Batteries: Machine Learning-Driven Discovery.
Jiwon Sun, JunHo Song, Juo Kim, Jinyoung Jeong, Eunsong Kim, Kyoungmin Min

ACS Appl Mater Interfaces· September 2025

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Matini-Net: Versatile Material Informatics Research Framework for Feature Engineering and Deep Neural Network Design.
Myeonghun Lee, Taehyun Park, Kyoungmin Min

J Chem Inf Model· December 2024

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Uncovering the Relationship between Metal Elements and Mechanical Stability for Metal-Organic Frameworks.
Inhyo Lee, Jaejun Lee, Minseon Kim, Jaejung Park, Heekyu Kim, Kyoungmin Min

ACS Appl Mater Interfaces· October 2024

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Integrating Data Mining and Natural Language Processing to Construct a Melting Point Database for Organometallic Compounds.
Jinyoung Jeong, Taehyun Park, JunHo Song, Seungpyo Kang, Joonghee Won, Kyoungmin Min

J Chem Inf Model· October 2024

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Enhancing protein aggregation prediction: a unified analysis leveraging graph convolutional networks and active learning.
Jiwon Sun, JunHo Song, Juo Kim, Seungpyo Kang, Eunyoung Park, Kyoungmin Min

RSC Adv· October 2024

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Active Learning Framework for Expediting the Search of Thermodynamically Stable MXenes in the Extensive Chemical Space.
Jaejung Park, Jongmok Lee, Jaejun Lee, Kyoungmin Min, Haesun Park

ACS Nano· October 2024

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Machine-Learning-Driven High-Throughput Screening for High-Energy Density and Stable NASICON Cathodes.
Jinyoung Jeong, Juo Kim, Jiwon Sun, Kyoungmin Min

ACS Appl Mater Interfaces· May 2024

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Exploring the large chemical space in search of thermodynamically stable and mechanically robust MXenes machine learning.
Jaejung Park, Minseon Kim, Heekyu Kim, Jaejun Lee, Inhyo Lee, Kyoungmin Min

Phys Chem Chem Phys· April 2024

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Prediction of Protein Aggregation Propensity via Data-Driven Approaches.
Seungpyo Kang, Minseon Kim, Jiwon Sun, Myeonghun Lee, Kyoungmin Min

ACS Biomater Sci Eng· November 2023

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Atomistic insights into adhesion characteristics of tungsten on titanium nitride using steered molecular dynamics with machine learning interatomic potential.
Eunseog Cho, Won-Joon Son, Eunae Cho, Inkook Jang, Dae Sin Kim, Kyoungmin Min

Sci Rep· October 2023

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Screening Platform for Promising Na Superionic Conductors for Na-Ion Solid-State Electrolytes.
Juo Kim, Seungpyo Kang, Kyoungmin Min

ACS Appl Mater Interfaces· September 2023

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AmorProt: Amino Acid Molecular Fingerprints Repurposing-Based Protein Fingerprint.
Myeonghun Lee, Kyoungmin Min

Biochemistry· September 2023

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Enhanced Hydrogen Evolution Performance at the Lateral Interface between Two Layered Materials Predicted with Machine Learning.
Thi Hue Pham, Eunsong Kim, Kyoungmin Min, Young-Han Shin

ACS Appl Mater Interfaces· June 2023

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Extracting Chemical Information from Scientific Literature Using Text Mining: Building an Ionic Conductivity Database for Solid-State Electrolytes.
Yea-Jin Shon, Kyoungmin Min

ACS Omega· May 2023

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Accelerated Discovery of Novel Garnet-Type Solid-State Electrolyte Candidates via Machine Learning.
Jiwon Sun, Seungpyo Kang, Joonchul Kim, Kyoungmin Min

ACS Appl Mater Interfaces· February 2023

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Optimal machine learning feature selection for assessing the mechanical properties of a zeolite framework.
Namjung Kim, Kyoungmin Min

Phys Chem Chem Phys· November 2022

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Dual doping with cations and anions for enhancing the structural stability of the sodium-ion layered cathode.
Kyoungmin Min

Phys Chem Chem Phys· June 2022

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MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational Autoencoder.
Myeonghun Lee, Kyoungmin Min

J Chem Inf Model· June 2022

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Novel Solubility Prediction Models: Molecular Fingerprints and Physicochemical Features vs Graph Convolutional Neural Networks.
Sumin Lee, Myeonghun Lee, Ki-Won Gyak, Sung Dug Kim, Mi-Jeong Kim, Kyoungmin Min

ACS Omega· April 2022

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Prediction of dielectric constants of ABO-type perovskites using machine learning and first-principles calculations.
Eunsong Kim, Joonchul Kim, Kyoungmin Min

Phys Chem Chem Phys· March 2022

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A Synergistic Effect of Na and Al Dual Doping on Electrochemical Performance and Structural Stability of LiNiCoMnO Cathodes for Li-Ion Batteries.
Hyun Gyu Park, Kyoungmin Min, Kwangjin Park

ACS Appl Mater Interfaces· February 2022

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A Comparative Study of the Performance for Predicting Biodegradability Classification: The Quantitative Structure-Activity Relationship Model vs the Graph Convolutional Network.
Myeonghun Lee, Kyoungmin Min

ACS Omega· February 2022

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Adaptive Learning Framework in Prediction and Validation of Gibbs Free Energy for Inorganic Crystalline Solids.
Jonghoon Yoon, Eunseong Choi, Kyoungmin Min

J Phys Chem A· November 2021

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