Kee‐Sun Sohn

Sejong University — South Korea

Materials Science · Physical Sciences

49h-index7.7kcitations268works3.52yr avg
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Research Topics

Luminescence Properties of Advanced Materials(106), Advancements in Battery Materials(52), Advanced Battery Materials and Technologies(48), Machine Learning in Materials Science(26), Advanced Photocatalysis Techniques(23)

Publications267 total

Resolving energy transfer dynamics in Eu²⁺-activated multi-site phosphors via metaheuristic optimization and physics-informed neural networks
Nature Communications·2026Open Access
Discovering Multi‐Compositional Li‐Argyrodite Solid‐State Electrolytes via Experimental Active Learning (Small 21/2025)
Small·2025Open Access
Discovering a Novel Cyan‐Light‐Emitting Thiosilicate Phosphor, Li <sub>2</sub> BaSiS <sub>4</sub> :Eu <sup>2+</sup> , via Experimental Active Learning (Advanced Optical Materials 14/2025)
Advanced Optical Materials·2025Open Access
Ca-K hybrid batteries: Combination of dendrite-free K plating/stripping on anode and selective Ca2+ insertion into cathode
Chemical Engineering Journal·2025
Discovering a Novel Cyan‐Light‐Emitting Thiosilicate Phosphor, Li <sub>2</sub> BaSiS <sub>4</sub> :Eu <sup>2+</sup> , via Experimental Active Learning
Advanced Optical Materials·2025· 2 cited
Dual‐Modal Sensing Skin Adaptive to Daylight, Darkness, and Ultraviolet Light for Simultaneous Full‐Field Deformation Measurement and Mechanoluminescence Responses (Adv. Sci. 2/2025)
Advanced Science·2025Open Access
Discovering Multi‐Compositional Li‐Argyrodite Solid‐State Electrolytes via Experimental Active Learning
Small·2024· 1 cited
Exploration of high-ductility ternary refractory complex concentrated alloys using first-principles calculations and machine learning
Calphad·2024· 4 cited
Discovering virtual Na-based argyrodites as solid-state electrolytes using DFT, AIMD, and machine learning techniques
Journal of Materials Chemistry A·2024· 8 cited
Author response for "Discovering Virtual Na-based Argyrodites as Solid-State Electrolytes Using DFT, AIMD, and Machine Learning Techniques"
2024
Conduction channel creation by interstitial site engineering in otherwise insulating Na6ZnS4 for Na-conducting solid-state electrolytes
Energy storage materials·2024· 1 cited
Dual‐Modal Sensing Skin Adaptive to Daylight, Darkness, and Ultraviolet Light for Simultaneous Full‐Field Deformation Measurement and Mechanoluminescence Responses
Advanced Science·2024· 9 citedOpen Access
Highly Concentrated Asymmetric KTFSI for Aqueous Potassium Ion Batteries(Adv. Energy Mater. 38/2024)
Advanced Energy Materials·2024· 1 citedOpen Access
Deep learning for symmetry classification using sparse 3D electron density data for inorganic compounds
npj Computational Materials·2024· 4 citedOpen Access
Highly Concentrated Asymmetric KTFSI for Aqueous Potassium Ion Batteries
Advanced Energy Materials·2024· 8 cited
Enhancing P2/O3 Biphasic Cathode Performance for Sodium‐Ion Batteries: A Metaheuristic Approach to Multi‐Element Doping Design
Small·2024· 14 cited
Discovering virtual antiperovskites as solid-state electrolytes through active learning
Energy storage materials·2024· 8 cited
Perturbation of Na-ion distribution for enhancement of ionic conductivity to a practical level of over 1 mS·cm−1 in Na3ZnGaS4
Energy storage materials·2023· 5 cited
Identification of Location and Geometry of Invisible Internal Defects in Structures using Deep Learning and Surface Deformation Field
Advanced Intelligent Systems·2023· 6 citedOpen Access
De/Protonation Associated Sustainable Conversion Reaction Applicable to High-Capacity Zinc Storage in Mildly Acidic Aqueous System
ECS Meeting Abstracts·2023
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Frequent Co-authors

Woon Bae Park(17), Myoungho Pyo(15), Satendra Pal Singh(14), Namsoo Shin(7), Su Cheol Han(7), Ji Sik Kim(7), Docheon Ahn(6), Hee Dong Park(6), S. J. Richard Prabakar(5), Yun‐Hwa Hwang(4), Jin-Woong Lee(4), Soo Yeon Seo(4), Minseuk Kim(4), Nirmalesh Naveen(3), Suman Timilsina(3), Amol Bhairuba Ikhe(3), Yoon Young Choi(3), Jiyong Chung(2), Keemin Sohn(2), Sangdeok Shim(2)