个人情况：
戴一阳，副教授，博士研究生导师。中国系统工程学会过程系统工程专业委员会委员，全国危险化学品标准化管理委员会委员，中国职业健康协会危化事故预防与应急管理专业委员会委员，中国化工学会模拟与仿真专业委员会青年委员。
E-mail:daiyy@scu.edu.cn
通讯地址：四川大学化学工程学院334室
工作经历:
2021.10-今，四川大学化学工程学院化学工程系，副教授
2019.09-2021.09，四川大学化学工程学院化学工程系，特聘副研究员
2016.02-2019.07，西南石油大学化学化工学院，副教授
2012.07-2016.01，中国石油安全环保技术研究院，主管工程师
教育背景:
2007.09-2012.06，清华大学化学工程系化学工程与技术专业，获工学博士学位
2003.09-2012.08，清华大学化学工程系化学工程与工艺专业，获工学学士学位
研究方向：
化工过程安全管理与监控、计算机辅助工艺设计与优化、人工智能辅助新材料研发
主持纵向科研项目:
2021.12-2025.12：计及电、氢、氨等要素的全方位安全防护与市场运营机制，国家重点研发计划项目子课题
2021.12-2024.11：面向电子行业品质管控的数字化关键技术，四川大学-遂宁市校地合作项目
2021.04-2024.03：基于多源信息监控的危化品生产安全风险预警与应急技术及系统研发，四川省科技厅重点研发项目
2018.01-2020.12：数据低可靠条件下的化工过程过渡态故障诊断方法研究，国家自然科学基金青年基金项目
2017.01-2018.12：存在过失误差的化工装置开车过程中故障诊断技术研究，四川省教育厅自然科学重点项目
代表性论文：
1. Zhang, X.; Fan, W.; Wen, L.; Huang, C.; Jin, H.; Li, Q.; He, G.; Dai, Z.; Dai, Y. Techno-Economic Optimization of the Renewable Power to Ammonia System Based on a Flexible Process.Industrial & Engineering Chemistry Research2025, 64 (6), 3397-3408.
2. Zhang, J.; Fan, S.; Feng, Z.; Dong, L.; Dai, Y. Supervised integrated deep deterministic policy gradient model for enhanced control of chemical processes.Chemical Engineering Science2025, 301, 120762.
3. Xin, B.; Feng, M.; Cheng, M.; Dai, Z.; Ye, S.; Zhou, L.; Dai, Y.; Ji, X. Combining Interpretable Machine Learning and Molecular Simulation to Advance the Discovery of COF-Based Membranes for Acid Gas Separation.Industrial & Engineering Chemistry Research2024, 63 (18), 8369-8382.
4. Wen, L.; Huang, C.; Dai, Z.; Nie, L.; Ji, X.; Dai, Y. Dynamic Simulation and Optimization for Load Regulation Strategies of the Green Ammonia Synthesis Process.Industrial & Engineering Chemistry Research2024, 63 (45), 19662-19675.
5. Tao, Q.; Xin, B.; Zhang, Y.; Jin, H.; Li, Q.; Dai, Z.; Dai, Y. A novel triage-based fault diagnosis method for chemical process.Process Safety and Environmental Protection2024, 183, 1102-1116.
6. Luo, J.; Jin, Z.; Jin, H.; Li, Q.; Ji, X.; Dai, Y. Causal temporal graph attention network for fault diagnosis of chemical processes.Chinese Journal of Chemical Engineering2024, 70, 20-32.
7. Jin, Z.; Liu, H.; Dai, Z.; Dai, Y. Investigation on energy-saving distillation for separating tetrahydrofuran/ methanol/water ternary azeotropic system.Journal of Cleaner Production2024, 441, 140899.
8. Jin, Z.; Liu, H.; Dai, Z.; Dai, Y. Novel Heterogeneous Extraction Methods for Adiponitrile Electrolyte Recycling.Industrial & Engineering Chemistry Research2024, 63 (26), 11591-11601.
9. Hua, Y.; Chen, W.; Jin, H.; Li, Q.; Ji, X.; Dai, Y. Cross-domain fault diagnosis for multimode green ammonia synthesis process based on DA-CycleGAN.Process Safety and Environmental Protection2024, 191, 52-64.
10. Xu, Q.; Xin, B.; Wei, J.; Ma, Y.; Qing, Z.; Feng, C.; Yi, S.; Li, N.; Li, K.; Wang, F; Zhao, J.; Yang, L.; Yao, L.; Jiang, W.; Dai, Y.; Dai, Z. Troger's base polymeric membranes for CO2separation: a review.Journal of Materials Chemistry A2023, 11 (29), 15600-15634.
11.Luo, X.; Feng, X.; Ji, X.; Dang, Y.; Zhou, L.; Bi, K.; Dai, Y. Extraction and analysis of risk factors from Chinese chemical accident reports.Chinese Journal of Chemical Engineering2023,61, 68-81.
12. Yao, Y.; Dai, Y.; Zhao, J. An enhanced dynamic artificial immune system based on simulated vaccine for early fault diagnosis with limited data.Process Safety and Environmental Protection2022, 165, 908-919.
13. Wei, Z.; Ji, X.; Zhou, L.; Dang, Y.; Dai, Y. A novel deep learning model based on target transformer for fault diagnosis of chemical process.Process Safety and Environmental Protection2022, 167, 480-492.
14. Feng, M.; Cheng, M.; Ji, X.; Zhou, L.; Bi, K.; Dai, Z.; Dai, Y. Finding the optimal CO2adsorption material: Prediction of multi-properties of metal-organic frameworks (MOFs) based on DeepFM.Separation and Purification Technology2022, 302, 122111.
15. Feng, M.; Cheng, M.; Deng, J.; Ji, X.; Zhou, L.; Dang, Y.; Bi, K.; Dai, Z.; Dai, Y. High-throughput computational screening of Covalent-Organic framework membranes for helium purification.Results in Engineering2022, 15, 100538.
教学工作：
主讲本科生课程——互联化工设计、化工过程先进控制、化工环保与安全、Python语言与化工智能化
主讲研究生课程——化工安全环保与设计实践
