Skip to main content

Kyujeong Jeon

Korea University · 工学

研究室紹介

Professor Kyujeong Jeon's research lab specializes in computational materials science and machine learning for energy materials, with a focus on solid-state batteries, ion conductors, and interatomic potentials. The lab develops advanced machine learning interatomic potentials (MLIPs) such as CHGNet and investigates ion conduction mechanisms in solid electrolytes, including structural and dynamic factors that govern superionic conductivity. Their work bridges atomistic simulations, materials design, and experimental validation to address challenges in next-generation energy storage technologies.

solid-state batteriesion conductorsmachine learning interatomic potentialscomputational materials design

Research Overview

Papers
61
Total Citations
1,673
Papers (5y)
58
Primary Field
工学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
58total
2022
2023
2024
2025
2026
Citations per year (5y)
1,582total
20222023202420252026

Selected Papers

15
1
Article|771 citations·2023
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling
Bowen Deng, Peichen Zhong, KyuJung Jun, Janosh Riebesell, Kevin Han, Christopher J. Bartel, Gerbrand Ceder
SJR Q1Nature Machine IntelligenceOA

Abstract Large-scale simulations with complex electron interactions remain one of the greatest challenges for atomistic modelling. Although classical force fields often fail to describe the coupling between electronic states and ionic rearrangements, the more accurate ab initio molecular dynamics suffers from computational complexity that prevents long-time and large-scale simulations, which are essential to study technologically relevant phenomena. Here we present the Crystal Hamiltonian Graph

Materials ChemistryMaterials Science
2
Article|217 citations·2022
Lithium superionic conductors with corner-sharing frameworks
KyuJung Jun, Yingzhi Sun, Yihan Xiao, Yan Zeng, Ryoung‐Hee Kim, Haegyeom Kim, Lincoln J. Miara, Dongmin Im, Yan Wang, Gerbrand Ceder
SJR Q1Nature MaterialsOA
Electrical and Electronic EngineeringEngineering
3
Review|117 citations·2024
Diffusion mechanisms of fast lithium-ion conductors
KyuJung Jun, Yu Chen, Grace Wei, Xiaochen Yang, Gerbrand Ceder
SJR Q1Nature Reviews Materials
Electrical and Electronic EngineeringEngineering
4
Article|112 citations·2025
Systematic softening in universal machine learning interatomic potentials
Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand, Zhuohan Li, KyuJung Jun, Kristin A. Persson, Gerbrand Ceder
SJR Q1npj Computational MaterialsOA

Abstract Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. Recent advancements have led to universal MLIPs (uMLIPs) that are pre-trained on diverse datasets, providing opportunities for universal force fields and foundational machine learning models. However, their performance in extrapolating to out-of-distribution complex atomic environments remains unclear. In this study, we highlight a consistent potential energy surface (PES) softening ef

Materials ChemistryMaterials Science
5
Article|82 citations·2021
Lithium Oxide Superionic Conductors Inspired by Garnet and NASICON Structures
Yihan Xiao, KyuJung Jun, Yan Wang, Lincoln J. Miara, Qingsong Tu, Gerbrand Ceder
SJR Q1Advanced Energy MaterialsOA

Abstract The key component in lithium solid‐state batteries (SSBs) is the solid electrolyte composed of lithium superionic conductors (SICs). Lithium oxide SICs offer improved electrochemical and chemical stability compared with sulfides, and their recent advancements have largely been achieved using materials in the garnet‐ and NASICON (sodium superionic conductor)‐ structured families. In this work, using the ion‐conduction mechanisms in garnet and NASICON as inspiration, a common pattern of a

Electrical and Electronic EngineeringEngineering
6
Article|42 citations·2024
The nonexistence of a paddlewheel effect in superionic conductors
KyuJung Jun, Byungju Lee, Ronald L. Kam, Gerbrand Ceder
SJR Q1Proceedings of the National Academy of SciencesOA

Since the 1980s, the paddlewheel effect has been suggested as a mechanism to boost lithium-ion diffusion in inorganic materials via the rotation of rotor-like anion groups. However, it remains unclear whether the paddlewheel effect, defined as large-angle anion group rotations assisting Li hopping, indeed exists; furthermore, the physical mechanism by which the anion-group dynamics affect lithium-ion diffusion has not yet been established. In this work, we differentiate various types of rotation

SpectroscopyChemistry
7
Article|41 citations·2023
Understanding the Irreversible Reaction Pathway of the Sacrificial Cathode Additive Li6CoO4
KyuJung Jun, Lori A. Kaufman, Wangmo Jung, Byungchun Park, Chiho Jo, Taegu Yoo, Donghun Lee, Byungju Lee, Bryan D. McCloskey, Haegyeom Kim, Gerbrand Ceder
SJR Q1Advanced Energy MaterialsOA

Abstract The use of a sacrificial cathode additive that contains a large amount of lithium is one potential solution to compensate for the irreversible capacity loss associated with next‐generation anodes such as silicon. Antifluorite‐type Li 6 CoO 4 has attracted attention as a potential cathode additive owing to its remarkably high theoretical lithium extraction capacity. However, the complex mechanism of lithium extraction as well as the oxygen loss from Li 6 CoO 4 is not well understood. A g

Electrical and Electronic EngineeringEngineering
8
Article|33 citations·2023
Unraveling Li growth kinetics in solid electrolytes due to electron beam charging
Xinxing Peng, Qingsong Tu, Yaqian Zhang, KyuJung Jun, Fengyu Shen, Tofunmi Ogunfunmi, Yingzhi Sun, Michael C. Tucker, Gerbrand Ceder, Mary Scott
SJR Q1Science AdvancesOA

Revealing the local structure of solid electrolytes (SEs) with electron microscopy is critical for the fundamental understanding of the performance of solid-state batteries (SSBs). However, the intrinsic structural information in the SSB can be misleading if the sample's interactions with the electron beams are not fully understood. In this work, we systematically investigate the effect of electron beams on Al-doped lithium lanthanum zirconium oxide (LLZO) under different imaging conditions. Li

Electrical and Electronic EngineeringEngineering
9
Article|32 citations·2023
Weak Correlation between the Polyanion Environment and Ionic Conductivity in Amorphous Li–P–S Superionic Conductors
Byungju Lee, KyuJung Jun, Bin Ouyang, Gerbrand Ceder
SJR Q1Chemistry of MaterialsOA

High Resolution Image Download MS PowerPoint Slide Amorphous Li–P–S materials have been widely used as solid-state electrolytes for all-solid-state batteries because of their high ionic conductivity (10 –4 to 10 –3 S cm –1 ) as well as good synthetic accessibility and processability. Despite the potential of these materials, their amorphous structures have made it challenging to quantify the relation between the structure and conductivity. In this paper, we use ab initio molecular dynamics simul

Electrical and Electronic EngineeringEngineering
10
Article|29 citations·2024
Selective formation of metastable polymorphs in solid-state synthesis
Yan Zeng, Nathan J. Szymanski, Tanjin He, KyuJung Jun, Leighanne C. Gallington, Haoyan Huo, Christopher J. Bartel, Bin Ouyang, Gerbrand Ceder
SJR Q1Science AdvancesOA

Metastable polymorphs often result from the interplay between thermodynamics and kinetics. Despite advances in predictive synthesis for solution-based techniques, there remains a lack of methods to design solid-state reactions targeting metastable materials. Here, we introduce a theoretical framework to predict and control polymorph selectivity in solid-state reactions. This framework presents reaction energy as a rarely used handle for polymorph selection, which influences the role of surface e

Materials ChemistryMaterials Science
11
Article|26 citations·2024
Effect of Cation Disorder on Lithium Transport in Halide Superionic Conductors
Peichen Zhong, Sunny Gupta, Bowen Deng, KyuJung Jun, Gerbrand Ceder
SJR Q1ACS Energy Letters

Li 2 ZrCl 6 (LZC) is a promising solid-state electrolyte due to its affordability, moisture stability, and high ionic conductivity. We computationally investigate the role of cation disorder in LZC and its effect on Li-ion transport by integrating thermodynamic and kinetic modeling. The results demonstrate that fast Li-ion conductivity requires Li-vacancy disorder, which is dependent on the degree of Zr disorder. The high temperature required to form equilibrium Zr disorder precludes any equilib

Electrical and Electronic EngineeringEngineering
12
Article|25 citations·2025
Exploring the soft cradle effect and ionic transport mechanisms in the LiMXCl4 superionic conductor family
KyuJung Jun, Grace Wei, Xiaochen Yang, Yu Chen, Gerbrand Ceder
SJR Q1MatterOA

LiMXCl 4 , a recently discovered lithium superionic conductor, achieves Li conductivity up to 12.4 mS/cm at room temperature. Notably, LiNbOCl 4 features flexible, rotating polyhedra, potentially explaining its high ionic conductivity. However, the generalizability of these findings across different chemistries and the direct link between polyhedra rotations and Li-ion mobility remain unclear. In this study, we explore various M-cation and X-anion substitutions in the LiMXCl 4 system, identifyin

Electrical and Electronic EngineeringEngineering
13
Article|20 citations·2024
Optimal thermodynamic conditions to minimize kinetic by-products in aqueous materials synthesis
Zheren Wang, Yingzhi Sun, Kevin Cruse, Yan Zeng, Yuxing Fei, Zexuan Liu, Junyi Shangguan, Young‐Woon Byeon, KyuJung Jun, Tanjin He, Wenhao Sun, Gerbrand Ceder
SJR Q1Nature SynthesisOA

Abstract Phase diagrams offer substantial predictive power for materials synthesis by identifying the stability regions of target phases. However, thermodynamic phase diagrams do not offer explicit information regarding the kinetic competitiveness of undesired by-product phases. Here we propose a quantitative and computable thermodynamic metric to identify synthesis conditions under which the propensity to form kinetically competing by-products is minimized. We hypothesize that thermodynamic com

Materials ChemistryMaterials Science
14
Article|9 citations·2019
A comparative study on modeling of the ferromagnetic and paramagnetic states of uranium hydride using a DFT+U method
KyuJung Jun, Jae-Uk Lee, Min Ho Chang, Takuji Oda
SJR Q2Physical Chemistry Chemical Physics

Uranium hydride is a promising material for stationary hydrogen storage in fusion reactors. In this work, various material properties of uranium hydride in both ferromagnetic (FM) and paramagnetic (PM) states are calculated to determine the optimal first-principles calculation method. For the treatment of strongly correlated f-electrons, the PBE functional with a Hubbard U parameter of 0.6 eV is selected as the optimal method and provides accurate formation energies and reasonable structural pro

Materials ChemistryMaterials Science
15
Article|4 citations·2024
Nitride Lithium-ion Conductors with Enhanced Oxidative Stability
KyuJung Jun, Yihan Xiao, Wenhao Sun, Young‐Woon Byeon, Haegyeom Kim, Gerbrand Ceder
SJR Q1Journal of The Electrochemical SocietyOA

It is desirable to develop solid electrolytes that have both excellent reductive stability against lithium metal and oxidative stability against high-voltage cathodes. However, no inorganic superionic conductors reported thus far satisfy these criteria. Nitrides exhibit intrinsically superior stability against reduction but are often readily oxidized at voltages as low as 0.6 V. In this article, we investigated all nitride-based compounds to search for materials with improved oxidative stabiliti

Electrical and Electronic EngineeringEngineering

Research Areas

Electrical and Electronic EngineeringMaterials ChemistryInorganic ChemistrySpectroscopyArtificial IntelligenceCognitive Neuroscience

Kyujeong Jeonの研究をNubintでさらに深く

この研究室の論文をアプリで開き、AIと共に読み、要約し、引用しましょう。