Forecasting state-of-health of lithium-ion batteries using variational long short-term memory with transfer learning S Kim, YY Choi, KJ Kim, JI Choi Journal of Energy Storage 41, 102893, 2021 | 77 | 2021 |
Multiple parameter identification using genetic algorithm in vanadium redox flow batteries YY Choi, S Kim, S Kim, JI Choi Journal of Power Sources 450, 227684, 2020 | 39 | 2020 |
Impedance-based Capacity Estimation for Lithium-Ion Batteries Using Generative Adversarial Network S Kim, YY Choi, JI Choi Applied Energy 308, 118317, 2022 | 35 | 2022 |
Dynamic pore modulation of stretchable electrospun nanofiber filter for adaptive machine learned respiratory protection J Shin, S Jeong, J Kim, YY Choi, J Choi, JG Lee, S Kim, M Kim, Y Rho, ... ACS nano 15 (10), 15730-15740, 2021 | 29 | 2021 |
Binary genetic algorithm for optimal joinpoint detection: application to cancer trend analysis S Kim, S Lee, JI Choi, H Cho Statistics in Medicine 40 (3), 799-822, 2021 | 16 | 2021 |
Model-free reconstruction of capacity degradation trajectory of lithium-ion batteries using early cycle data S Kim, H Jung, M Lee, YY Choi, JI Choi ETransportation 17, 100243, 2023 | 12 | 2023 |
Recurrent neural network-induced Gaussian process X Sun, S Kim, JI Choi Neurocomputing 509, 75-84, 2022 | 7 | 2022 |
Parameter identification and identifiability analysis of lithium‐ion batteries YY Choi, S Kim, K Kim, S Kim, JI Choi Energy Science & Engineering 10 (2), 488-506, 2022 | 7 | 2022 |
Bayesian parameter identification in electrochemical model for lithium-ion batteries S Kim, S Kim, YY Choi, JI Choi Journal of Energy Storage 71, 108129, 2023 | 3 | 2023 |
Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions M Yang, S Kim, X Sun, S Kim, J Choi, TS Park, JI Choi Applied Thermal Engineering 236, 121669, 2024 | 1 | 2024 |
Bilevel-optimized continual learning for predicting capacity degradation of lithium-ion batteries M Lee, S Kim, S Kim, JI Choi Journal of Energy Storage 86, 111187, 2024 | | 2024 |