论文著作：
[1] Zhou W, Feng H, Zhou S, Wang M, Chen Y, Lu C, Yuan H, Yang J, Li Q, Tan L,* Dong L,* Zhang Y,* Designing and screening single-atom alloy catalysts for CO2 reduction to CH3OH via DFT and machine learning, AIChE J, 2025, 71(3):e18678.
[2] Leng J, Fan S, Dong L,* Feng Z,* Design and optimization of energy-saving heterogeneous azeotropic distillation processes for the separation of ternary mixture of ethyl acetate/n-propanol/water, Sep. Puri. Tech., 2025, 359:130537.
[3] Zhang J. Fan S, Feng Z, Dong L,* Dai Y,* Supervised integrated deep deterministic policy gradient model for enhanced control of chemical processes, Chem. Eng. Sci., 2025, 301:120762.
[4] Fan S, Leng J, Feng Z, Lu R, Dong L,* Lu C,* Dynamic control of bottom flash heat pump-assisted extractive distillation process for separating n-hexane and 1, 2-dichloroethane, Sep. Puri. Tech., 2025, 354:128830.
[5] Zhang J, Rangaiah GP, Dong L,* Samavedham S,* An improved industrial fault diagnosis model by integrating enhanced variational mode decomposition with sparse process monitoring method, Reliab. Eng. Syst. Safe., 2025, 253:110492.
[6] Song C, Leng J, Dong L,* Feng Z,* Design and optimization of reactive diving wall distillation column process for methyl methacrylate production, Sep. Puri. Tech., 2025, 360:130992.
[7] Feng Z,* Zhang J, Leng L, Fan S, Wan Q, Dong L,* Enhancing economic, exergy efficiency and environment of extractive distillation processes via integrating two-enthalpy-feed and vapor recompression heat pump, Sep. Puri. Tech., 2025, 360:130950.
[8] Zhang J, Rangaiah GP, Dong L,* Samavedham S,* A Novel Fault Diagnosis Framework for Industrial Production Processes Based on Causal Network Inference, Ind. Eng. Chem. Res., 2024, 63(21): 9471–9488.
[9] Leng J, Fan S, Lu C, Dong L,* Feng Z,* Sustainable design and multi-objective optimization of heat pump assisted extractive distillation process for separating a ternary mixture of methyl acetate, tetrahydrofuran and methanol, J. Clean. Prod., 2023, 419:138816.
[10] Zhou W, Chen Y, Tan L,* Tang Q,* Lu C, Dong L,* Understanding the C-H activation of methane over single‐atom alloy catalysts by density functional theory calculations, AIChE J., 2023, 69 (8):e18118.
[11] Xian X,* Chen J, Chu Y, He M, Zhao S,* Dong L, Ren J. Unraveling the spatial distribution of the acidity of HZSM‐5 zeolite on the level of crystal grains, AIChE J., 2021, 67 (4): e17134
[12] Ren J,* Ren X, Dong L,* Industrial system prioritization using the sustainability‐interval index conceptual framework with life‐cycle considerations, AIChE J., 2020, e16961.
[13] Ren J,* Ren X, Dong L,* Manzardo A, He C, Pan M. Multi-actor multi-criteria decision making for life cycle sustainability assessment under uncertainties. AIChE J., 2018, 64(6), 2103-2110.
[14] Ren J, Xu D, Cao H, Wei S, Dong L,* Goodsite ME. Sustainability decision support framework for industrial system prioritization. AIChE J., 2016, 62 (1), 108-130.
董立春
重庆市
研究领域：
精细化工
研究方向：
(1) 化工过程模拟和优化：使用Aspen Plus等化工过程模拟软件对化工过程进行数值模拟，建立数字孪生模型，结合多目标非线性规划方法，优化化工过程的操作参数和设备操作条件，进而引入过程强化技术，开发节能新工艺，实现化工过程经济效益、环境效益、社会效益的综合提升。
(2) 智能化工：将人工智能模型引入化工过程优化与控制、过程诊断，建立融合人工智能的过程优化与控制模型，发展人工智能与“三传一反”机理融合的跨尺度建模方法。
(3) 化工过程开发：结合过程模拟和流体力学计算研究，研究新工艺、新技术在实际工程应用中涉及的设备结构设计、工程放大规律问题，开发成套工艺与设备实现新工艺和新技术的工业应用。
所在单位：
重庆大学
