Publications
Publications
First author
First author
First author
"Next-generation cathodes for calcium-ion batteries: Leveraging NASICON structures for enhanced stability and energy density”
Minseon Kim+, Jaejung Park, Heekyu Kim, Jaejun Lee, Inhyo Lee, Juo Kim, Seungchul Lee*, and Kyoungmin Min*
Energy Storage Materials, Volume 73, November 2024, 103827
"Next-generation cathodes for calcium-ion batteries: Leveraging NASICON structures for enhanced stability and energy density”
Minseon Kim+, Jaejung Park, Heekyu Kim, Jaejun Lee, Inhyo Lee, Juo Kim, Seungchul Lee*, and Kyoungmin Min*
Energy Storage Materials, Volume 73, November 2024, 103827
"Next-generation cathodes for calcium-ion batteries: Leveraging NASICON structures for enhanced stability and energy density”
Minseon Kim+, Jaejung Park, Heekyu Kim, Jaejun Lee, Inhyo Lee, Juo Kim, Seungchul Lee*, and Kyoungmin Min*
Energy Storage Materials, Volume 73, November 2024, 103827
"Co-free and Low-Strength Cathode Materials for Sodium-ion Batteries: Machine Learning-Based Materials Discovery”
Minseon Kim+, Woon-Hong Yeo, and Kyoungmin Min*
Energy Storage Materials Volume 69, May 2024, 103405
"Co-free and Low-Strength Cathode Materials for Sodium-ion Batteries: Machine Learning-Based Materials Discovery”
Minseon Kim+, Woon-Hong Yeo, and Kyoungmin Min*
Energy Storage Materials Volume 69, May 2024, 103405
"Co-free and Low-Strength Cathode Materials for Sodium-ion Batteries: Machine Learning-Based Materials Discovery”
Minseon Kim+, Woon-Hong Yeo, and Kyoungmin Min*
Energy Storage Materials Volume 69, May 2024, 103405
"Prediction of Protein Aggregation Propensity via Data-driven Approaches"
Seungpyo Kang+, Minseon Kim+, Jiwon Sun+, Myeonghun Lee*, and Kyoungmin Min*
ACS Biomaterials Science & Engineering, 9, 11, 6451–6463, 2023/10/16
"Prediction of Protein Aggregation Propensity via Data-driven Approaches"
Seungpyo Kang+, Minseon Kim+, Jiwon Sun+, Myeonghun Lee*, and Kyoungmin Min*
ACS Biomaterials Science & Engineering, 9, 11, 6451–6463, 2023/10/16
"Prediction of Protein Aggregation Propensity via Data-driven Approaches"
Seungpyo Kang+, Minseon Kim+, Jiwon Sun+, Myeonghun Lee*, and Kyoungmin Min*
ACS Biomaterials Science & Engineering, 9, 11, 6451–6463, 2023/10/16
"Data-Driven Methods for Predicting State of Health, State of Charge, and Remaining Useful Life of Li-Ion Batteries: A Comprehensive Review"
Eunsong Kim+, Minseon Kim+, Juo Kim, Joonchul Kim, Jung-Hwan Park, Kyoung-Tak Kim, Joung-Hu Park, Taesic Kim, and Kyoungmin Min*
International Journal of Precision Engineering and Manufacturing, 24, 1281–1304, 2023/05/09
"Data-Driven Methods for Predicting State of Health, State of Charge, and Remaining Useful Life of Li-Ion Batteries: A Comprehensive Review"
Eunsong Kim+, Minseon Kim+, Juo Kim, Joonchul Kim, Jung-Hwan Park, Kyoung-Tak Kim, Joung-Hu Park, Taesic Kim, and Kyoungmin Min*
International Journal of Precision Engineering and Manufacturing, 24, 1281–1304, 2023/05/09
"Data-Driven Methods for Predicting State of Health, State of Charge, and Remaining Useful Life of Li-Ion Batteries: A Comprehensive Review"
Eunsong Kim+, Minseon Kim+, Juo Kim, Joonchul Kim, Jung-Hwan Park, Kyoung-Tak Kim, Joung-Hu Park, Taesic Kim, and Kyoungmin Min*
International Journal of Precision Engineering and Manufacturing, 24, 1281–1304, 2023/05/09
"Maximizing the Energy Density and Stability of Ni-Rich Layered Cathode Materials with Multivalent Dopants via Machine Learning"
Minseon Kim+, Seungpyo Kang, Hyun Gyu Park, Kwangjin Park*, and Kyoungmin Min*
Chemical Engineering Journal, 452, 139254, 2023/01/15
"Maximizing the Energy Density and Stability of Ni-Rich Layered Cathode Materials with Multivalent Dopants via Machine Learning"
Minseon Kim+, Seungpyo Kang, Hyun Gyu Park, Kwangjin Park*, and Kyoungmin Min*
Chemical Engineering Journal, 452, 139254, 2023/01/15
"Maximizing the Energy Density and Stability of Ni-Rich Layered Cathode Materials with Multivalent Dopants via Machine Learning"
Minseon Kim+, Seungpyo Kang, Hyun Gyu Park, Kwangjin Park*, and Kyoungmin Min*
Chemical Engineering Journal, 452, 139254, 2023/01/15
Co-author
Co-author
Co-author
"Enhancing Predictions of Experimental Band Gap Using Machine Learning and Knowledge Transfer”
Taeseo Ko+, Taehyun Park+, Minseon Kim, and Kyoungmin Min*
Materials Today Communications, Available online 15 October 2024, 110717
"Enhancing Predictions of Experimental Band Gap Using Machine Learning and Knowledge Transfer”
Taeseo Ko+, Taehyun Park+, Minseon Kim, and Kyoungmin Min*
Materials Today Communications, Available online 15 October 2024, 110717
"Enhancing Predictions of Experimental Band Gap Using Machine Learning and Knowledge Transfer”
Taeseo Ko+, Taehyun Park+, Minseon Kim, and Kyoungmin Min*
Materials Today Communications, Available online 15 October 2024, 110717
"Uncovering the Relationship between Metal Elements and Mechanical Stability for Metal–Organic Frameworks”
Inhyo Lee+, Jaejun Lee+, Minseon Kim, Jaejung Park, Heekyu Kim, Seungchul Lee*, and Kyoungmin Min*
ACS Applied Materials and Interfaces, 16, 39, 52162–52178, 2024/09/22
"Uncovering the Relationship between Metal Elements and Mechanical Stability for Metal–Organic Frameworks”
Inhyo Lee+, Jaejun Lee+, Minseon Kim, Jaejung Park, Heekyu Kim, Seungchul Lee*, and Kyoungmin Min*
ACS Applied Materials and Interfaces, 16, 39, 52162–52178, 2024/09/22
"Uncovering the Relationship between Metal Elements and Mechanical Stability for Metal–Organic Frameworks”
Inhyo Lee+, Jaejun Lee+, Minseon Kim, Jaejung Park, Heekyu Kim, Seungchul Lee*, and Kyoungmin Min*
ACS Applied Materials and Interfaces, 16, 39, 52162–52178, 2024/09/22
"Exploring the Large Chemical Space in Search of Thermodynamically Stable and Mechanically Robust MXenes via Machine Learning”
Jaejung Park+, Minseon Kim, Heekyu Kim, Jaejun Lee, Inhyo Lee, Haesun Park, Anna Lee, Kyoungmin Min*, and Seungchul Lee*
Physical Chemistry Chemical Physics, 2024,26, 10769-10783
"Exploring the Large Chemical Space in Search of Thermodynamically Stable and Mechanically Robust MXenes via Machine Learning”
Jaejung Park+, Minseon Kim, Heekyu Kim, Jaejun Lee, Inhyo Lee, Haesun Park, Anna Lee, Kyoungmin Min*, and Seungchul Lee*
Physical Chemistry Chemical Physics, 2024,26, 10769-10783
"Exploring the Large Chemical Space in Search of Thermodynamically Stable and Mechanically Robust MXenes via Machine Learning”
Jaejung Park+, Minseon Kim, Heekyu Kim, Jaejun Lee, Inhyo Lee, Haesun Park, Anna Lee, Kyoungmin Min*, and Seungchul Lee*
Physical Chemistry Chemical Physics, 2024,26, 10769-10783
"A Review of problems and solutions in Ni-rich Cathode-Based Li-ion batteries from two research aspects: Experimental Studies and Computational Insights”
Hyukhee Cho+, Joonchul Kim+, Minseon Kim, Hyunjin An, Kyoungmin Min*, and Kwangjin Park*
Journal of Power Sources, Volume 597, 30 March 2024, 234132
"A Review of problems and solutions in Ni-rich Cathode-Based Li-ion batteries from two research aspects: Experimental Studies and Computational Insights”
Hyukhee Cho+, Joonchul Kim+, Minseon Kim, Hyunjin An, Kyoungmin Min*, and Kwangjin Park*
Journal of Power Sources, Volume 597, 30 March 2024, 234132
"A Review of problems and solutions in Ni-rich Cathode-Based Li-ion batteries from two research aspects: Experimental Studies and Computational Insights”
Hyukhee Cho+, Joonchul Kim+, Minseon Kim, Hyunjin An, Kyoungmin Min*, and Kwangjin Park*
Journal of Power Sources, Volume 597, 30 March 2024, 234132
"Optimal Surrogate Models for Predicting Elastic Moduli of Metal-Organic Frameworks via Multiscale Features"
Jaejun Lee+, Inhyo Lee+, Jaejung Park, Heekyu Kim, Minseon Kim, Kyoungmin Min*, and Seungchul Lee*
Chemistry of Materials, 2023, 35, 24, 10457–10475
"Optimal Surrogate Models for Predicting Elastic Moduli of Metal-Organic Frameworks via Multiscale Features"
Jaejun Lee+, Inhyo Lee+, Jaejung Park, Heekyu Kim, Minseon Kim, Kyoungmin Min*, and Seungchul Lee*
Chemistry of Materials, 2023, 35, 24, 10457–10475
"Optimal Surrogate Models for Predicting Elastic Moduli of Metal-Organic Frameworks via Multiscale Features"
Jaejun Lee+, Inhyo Lee+, Jaejung Park, Heekyu Kim, Minseon Kim, Kyoungmin Min*, and Seungchul Lee*
Chemistry of Materials, 2023, 35, 24, 10457–10475
"AR-Enabled Persistent Human-Machine Interfaces via a Scalable Soft Electrode Array"
Hodam Kim+, Ho-Seung Cha+, Minseon Kim, Yoon Jae Lee, Hoon Yi, Sung Hoon Lee, Soltis Ira, Hojoong Kim, Chang-Hwan Im and Woon-Hong Yeo*
Materials Today Communications, Volume 37, December 2023, 107245
"AR-Enabled Persistent Human-Machine Interfaces via a Scalable Soft Electrode Array"
Hodam Kim+, Ho-Seung Cha+, Minseon Kim, Yoon Jae Lee, Hoon Yi, Sung Hoon Lee, Soltis Ira, Hojoong Kim, Chang-Hwan Im and Woon-Hong Yeo*
Materials Today Communications, Volume 37, December 2023, 107245
"AR-Enabled Persistent Human-Machine Interfaces via a Scalable Soft Electrode Array"
Hodam Kim+, Ho-Seung Cha+, Minseon Kim, Yoon Jae Lee, Hoon Yi, Sung Hoon Lee, Soltis Ira, Hojoong Kim, Chang-Hwan Im and Woon-Hong Yeo*
Materials Today Communications, Volume 37, December 2023, 107245
"Rapid Discovery of Promising Materials via Active Learning with Multi-Objective Optimization"
Taehyun Park+, Eunsong Kim, Jiwon Sun, Minseon Kim, Eunhwa Hong, and Kyoungmin Min*
Materials Today Communications, Volume 37, December 2023, 107245
"Rapid Discovery of Promising Materials via Active Learning with Multi-Objective Optimization"
Taehyun Park+, Eunsong Kim, Jiwon Sun, Minseon Kim, Eunhwa Hong, and Kyoungmin Min*
Materials Today Communications, Volume 37, December 2023, 107245
"Rapid Discovery of Promising Materials via Active Learning with Multi-Objective Optimization"
Taehyun Park+, Eunsong Kim, Jiwon Sun, Minseon Kim, Eunhwa Hong, and Kyoungmin Min*
Materials Today Communications, Volume 37, December 2023, 107245
"Discovery of Superionic Solid-State Electrolyte for Li-Ion Batteries via Machine Learning"
Seungpyo Kang+, Minseon Kim, and Kyoungmin Min*
The Journal of Physical Chemistry C, 127, 39, 19335-19343, 2023/10/05
"Discovery of Superionic Solid-State Electrolyte for Li-Ion Batteries via Machine Learning"
Seungpyo Kang+, Minseon Kim, and Kyoungmin Min*
The Journal of Physical Chemistry C, 127, 39, 19335-19343, 2023/10/05
"Discovery of Superionic Solid-State Electrolyte for Li-Ion Batteries via Machine Learning"
Seungpyo Kang+, Minseon Kim, and Kyoungmin Min*
The Journal of Physical Chemistry C, 127, 39, 19335-19343, 2023/10/05
"Active Learning Platform for Accelerating the Search for High-Voltage Cathode Materials in an Extensive Chemical Space"
Heekyu Kim+, Jaejung Park, Minseon Kim, Jaejun Lee, Inhyo Lee, Kyoungmin Min*, and Seungchul Lee*
The Journal of Physical Chemistry C, 127, 38, 18902-18913, 2023/09/28
"Active Learning Platform for Accelerating the Search for High-Voltage Cathode Materials in an Extensive Chemical Space"
Heekyu Kim+, Jaejung Park, Minseon Kim, Jaejun Lee, Inhyo Lee, Kyoungmin Min*, and Seungchul Lee*
The Journal of Physical Chemistry C, 127, 38, 18902-18913, 2023/09/28
"Active Learning Platform for Accelerating the Search for High-Voltage Cathode Materials in an Extensive Chemical Space"
Heekyu Kim+, Jaejung Park, Minseon Kim, Jaejun Lee, Inhyo Lee, Kyoungmin Min*, and Seungchul Lee*
The Journal of Physical Chemistry C, 127, 38, 18902-18913, 2023/09/28
"Evaluation of Principal Features for Predicting Bulk and Shear Modulus of Inorganic Solids with Machine Learning"
Myeonghun Lee+, Minseon Kim, and Kyoungmin Min*
Materials Today Communications, 33, 104208, 2022/08/09
"Evaluation of Principal Features for Predicting Bulk and Shear Modulus of Inorganic Solids with Machine Learning"
Myeonghun Lee+, Minseon Kim, and Kyoungmin Min*
Materials Today Communications, 33, 104208, 2022/08/09
"Evaluation of Principal Features for Predicting Bulk and Shear Modulus of Inorganic Solids with Machine Learning"
Myeonghun Lee+, Minseon Kim, and Kyoungmin Min*
Materials Today Communications, 33, 104208, 2022/08/09
"Machine Learning-Aided Materials Design Platform for Predicting the Mechanical Properties of Na-Ion Solid-State Electrolytes”
Junho Jo+, Eunseong Choi, Minseon Kim, and Kyoungmin Min*
ACS Applied Energy Materials, Vol 4, 8, 7862-7869, 2021/08/05
"Machine Learning-Aided Materials Design Platform for Predicting the Mechanical Properties of Na-Ion Solid-State Electrolytes”
Junho Jo+, Eunseong Choi, Minseon Kim, and Kyoungmin Min*
ACS Applied Energy Materials, Vol 4, 8, 7862-7869, 2021/08/05
"Machine Learning-Aided Materials Design Platform for Predicting the Mechanical Properties of Na-Ion Solid-State Electrolytes”
Junho Jo+, Eunseong Choi, Minseon Kim, and Kyoungmin Min*
ACS Applied Energy Materials, Vol 4, 8, 7862-7869, 2021/08/05
Ⓒ 2024 Minseon Kim. All Rights Reserved.
Ⓒ 2024 Minseon Kim. All Rights Reserved.