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 | 121 | 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 | 100 | 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 | 49 | 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 | 19 | 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 | 14 | 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 | 10 | 2023 |
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 | 9 | 2023 |
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 |
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 | 5 | 2024 |
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 | 4 | 2024 |
Crystal Structures and Phase Stability of the Li2S–P2S5 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 | 4 | 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 | 2 | 2024 |
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 | 2 | 2024 |
SOLID-STATE LITHIUM-ION CONDUCTOR AND METHODS OF MANUFACTURE THEREOF Y Xiao, G Ceder, K Jun, Y Sun, Y Wang, L Miara, Y Zeng US Patent App. 17/323,074, 2022 | 1 | 2022 |
Foundational Machine Learning Interatomic Potential to Study Li-Ion Battery Cathode Phase Transformation with Charge Transfer B Deng, P Zhong, KJ Jun, J Riebesell, K Han, CJ Bartel, G Ceder PRiME 2024 (October 6-11, 2024), 2024 | | 2024 |
Crystal Structures and Phase Stability of the Li2s - P2S5 System RL Kam, KJ Jun, L Barroso-Luque, JH Yang, F Xie, G Ceder PRiME 2024 (October 6-11, 2024), 2024 | | 2024 |
Reports From the Frontier: Understanding Complex Correlations in Lithium Superionic Conductors KJ Jun, S Cushing The Electrochemical Society Interface 33 (2), 35, 2024 | | 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 | | 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 | | 2024 |
Revealing cation-disorder effects on lithium transport in halide superionic conductors P Zhong, S Gupta, B Deng, KJ Jun, G Ceder Bulletin of the American Physical Society, 2024 | | 2024 |