CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling B Deng, P Zhong, KJ Jun, J Riebesell, K Han, CJ Bartel, G Ceder
Nature Machine Intelligence 5 (9), 1031-1041, 2023
317 2023 Lithium superionic conductors with corner-sharing frameworks KJ Jun, Y Sun, Y Xiao, Y Zeng, R Kim, H Kim, LJ Miara, D Im, Y Wang, ...
Nature Materials 21 (8), 924-931, 2022
139 2022 Lithium Oxide Superionic Conductors Inspired by Garnet and NASICON Structures Y Xiao†, KJ Jun†, Y Wang, LJ Miara, Q Tu, G Ceder
Advanced Energy Materials, 2101437, 2021
62 2021 Understanding of electrochemical K+/Na+ exchange mechanisms in layered oxides H Kim, YW Byeon, J Wang, Y Zhang, MC Scott, KJ Jun, Z Cai, Y Sun
Energy Storage Materials, 2022
21 2022 Unraveling Li growth kinetics in solid electrolytes due to electron beam charging X Peng, Q Tu, Y Zhang, KJ Jun, F Shen, T Ogunfunmi, Y Sun, MC Tucker, ...
Science Advances 9 (17), eabq3285, 2023
18 2023 Understanding the Irreversible Reaction Pathway of the Sacrificial Cathode Additive Li6CoO4 KJ Jun, L Kaufman, W Jung, B Park, C Jo, T Yoo, D Lee, B Lee, ...
Advanced Energy Materials, 2301132, 2023
15 2023 Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning B Deng, Y Choi, P Zhong, J Riebesell, S Anand, Z Li, KJ Jun, KA Persson, ...
arXiv preprint arXiv:2405.07105, 2024
14 2024 Weak Correlation between the Polyanion Environment and Ionic Conductivity in Amorphous Li–P–S Superionic Conductors B Lee, KJ Jun, B Ouyang, G Ceder
Chemistry of Materials 35 (3), 891-899, 2023
13 2023 The nonexistence of a paddlewheel effect in superionic conductors KJ Jun, B Lee, R L. Kam, G Ceder
Proceedings of the National Academy of Sciences 121 (18), e2316493121, 2024
10 2024 Selective formation of metastable polymorphs in solid-state synthesis Y Zeng, NJ Szymanski, T He, KJ Jun, LC Gallington, H Huo, CJ Bartel, ...
Science Advances 10 (3), eadj5431, 2024
10 2024 Crystal Structures and Phase Stability of the Li2 S–P2 S5 System from First Principles RL Kam, KJ Jun, L Barroso-Luque, JH Yang, F Xie, G Ceder
Chemistry of Materials 35 (21), 9111-9126, 2023
10 2023 Optimal thermodynamic conditions to minimize kinetic by-products in aqueous materials synthesis Z Wang, Y Sun, K Cruse, Y Zeng, Y Fei, Z Liu, J Shangguan, YW Byeon, ...
Nature Synthesis 3 (4), 527-536, 2024
8 2024 A comparative study on modeling of the ferromagnetic and paramagnetic states of uranium hydride using a DFT+ U method KJ Jun, JU Lee, MH Chang, T Oda
Physical Chemistry Chemical Physics 21 (32), 17628-17639, 2019
6 2019 Diffusion mechanisms of fast lithium-ion conductors KJ Jun, Y Chen, G Wei, X Yang, G Ceder
Nature Reviews Materials 9 (12), 887-905, 2024
4 2024 Revealing Dynamic Evolution of the Anode-Electrolyte Interphase in All-Solid-State Batteries with Excellent Cyclability SY Kim, SM Bak, KJ Jun, G Ceder, G Chen
Advanced Energy Materials, 2401299, 2024
4 2024 Effect of Cation Disorder on Lithium Transport in Halide Superionic Conductors P Zhong, S Gupta, B Deng, KJ Jun, G Ceder
ACS Energy Letters 9, 2775-2781, 2024
4 2024 Solid-state lithium-ion conductor and methods of manufacture thereof Y Xiao, G Ceder, KJ Jun, Y Sun, Y Wang, L Miara
US Patent 12,126,022, 2024
1 2024 Thermodynamic stability and diffusion mechanism of LiMXCl4 superionic conductors KJ Jun, G Wei, G Ceder
1 2024 Systematic softening in universal machine learning interatomic potentials B Deng, Y Choi, P Zhong, J Riebesell, S Anand, Z Li, KJ Jun, KA Persson, ...
npj Computational Materials 11 (1), 1-9, 2025
2025 Synthetic accessibility and sodium ion conductivity of the Na LN Walters, Y Fei, B Rendy, X Yang, M Diallo, KJ Jun, G Wei, ...
arXiv preprint arXiv:2501.03165, 2025
2025 
Gerbrand CederProfessor of Materials Science and EngineeringEmail verificata su berkeley.edu