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Total 10 articles [ 키워드: Machine Learning ] |
No. |
Article |
1 |
Korean Journal of Chemical Engineering, 40 (12), pp.2941-2956 (2023) Application of machine learning and genetic algorithms to the prediction and optimization of biodiesel yield from waste cooking oil Aqueel Ahmad, Ashok Kumar Yadav, Achhaibar Singh |
2 |
Korean Journal of Chemical Engineering, 40 (9), pp.2091-2101 (2023) An LSTM model with optimal feature selection for predictions of tensile behavior and tensile failure of polymer matrix composites Jaewook Lee, Nagyeong Lee, Jinkyung Son, et al. |
3 |
Korean Journal of Chemical Engineering, 40 (9), pp.2119-2127 (2023) Physics-informed neural networks for learning fluid flows with symmetry Younghyeon Kim, Hyungyeol Kwak, Jaewook Nam |
4 |
Korean Journal of Chemical Engineering, 40 (8), pp.1850-1862 (2023) Feature construction for on-board early prediction of electric vehicle battery cycle life Junseop Shin, Yeonsoo Kim, Jong Min Lee |
5 |
Korean Journal of Chemical Engineering, 40 (5), pp.1023-1036 (2023) Soft sensor development based on just-in-time learning and dynamic time warping for multi-grade processes Min Jun Song, Sung Hyun Ju, Jong Min Lee |
6 |
Korean Journal of Chemical Engineering, 40 (3), pp.539-547 (2023) Data-driven designs and multi-scale simulations of enhanced ion transport in low-temperature operation for lithium-ion batteries Chang HJ, Park YJ, Kim JH, et al. |
7 |
Korean Journal of Chemical Engineering, 40 (2), pp.276-285 (2023) Recent development of machine learning models for the prediction of drug-drug interactions Hong EJ, Jeon JH, Kim HU |
8 |
Korean Journal of Chemical Engineering, 39 (4), pp.811-820 (2022) New frontiers of quantum computing in chemical engineering Ajagekar A, You F |
9 |
Korean Journal of Chemical Engineering, 38 (10), pp.1971-1982 (2021) Machine learning-based discovery of molecules, crystals, and composites: A perspective review Lee SW, Byun HE, Cheon MJ, et al. |
10 |
Korean Journal of Chemical Engineering, 38 (6), pp.1117-1128 (2021) Recent progress on Al distribution over zeolite frameworks:Linking theories and experiments Kwak SJ, Kim HS, Park NJ, et al. |
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