| 1 |
화학 공정 설계 및 분석을 위한 설명 가능한 인공지능 대안 모델
고유나, 나종걸
Korean Chemical Engineering Research, 61(4), 542, 2023 |
| 2 |
A deep learning approach using temporal-spatial data of computational fluid dynamics for fast property prediction of gas-solid fluidized bed
Qin P, Xia Z, Guo L
Korean Journal of Chemical Engineering, 40(1), 57, 2023 |
| 3 |
Physics-informed deep learning for data-driven solutionsof computational fluid dynamics
Choi S, Jung I, Kim H, Na J, Lee JM
Korean Journal of Chemical Engineering, 39(3), 515, 2022 |
| 4 |
Accelerating Two Projection Methods via Perturbations with Application to Intensity-Modulated Radiation Therapy
Bonacker E, Gibali A, Kufer KH
Applied Mathematics and Optimization, 83(2), 881, 2021 |
| 5 |
LightGBM Technique and Differential Evolution Algorithm-Based Multi-Objective Optimization Design of DS-APMM
Pan ZB, Fang SH, Wang H
IEEE Transactions on Energy Conversion, 36(1), 441, 2021 |
| 6 |
Insight into decomposition of formic acid to syngas required for Rh-catalyzed hydroformylation of olefins
Liu L, Chen XC, Yang SQ, Yao YQ, Lu Y, Liu Y
Journal of Catalysis, 394, 406, 2021 |
| 7 |
Well-defined poly(ethylene glycol) polymers as non-conventional reactive tracers of colloidal transport in porous media
Ritschel T, Lehmann K, Brunzel M, Vitz J, Nischang I, Schubert US, Totsche KU
Journal of Colloid and Interface Science, 584, 592, 2021 |
| 8 |
Development of a skeletal mechanism for four-component biodiesel surrogate fuel with PAH
Bai YQ, Wang Y, Wang XC
Renewable Energy, 171, 266, 2021 |
| 9 |
Turbulence-parameter estimation for current-energy converters using surrogate model optimization
Olson SS, Su JCP, Silva H, Chartrand CC, Roberts JD
Renewable Energy, 168, 559, 2021 |
| 10 |
Uncertainty modeling in reliability analysis of floating wind turbine support structures
Okpokparoro S, Sriramula S
Renewable Energy, 165, 88, 2021 |
