面向化学工程传质与过程仿真的多源融合计算方法，研究多尺度机理+数据驱动/机器学习融合建模的理论、方法与应用，综合机理与数据计算方法的各自优势，应用于化工过程设备与复杂化工流程开发，具体包括辅助湍流传质计算、流场稀疏测量重建、拓扑结构优化设计、主动流场控制，以及全流程高效模拟仿真、复杂单元数字孪生建模、流程工艺快速优化、过程先进控制等。

计算传质学理论与方法（研究生）；化工过程系统工程专论（研究生）；化工过程系统工程专论（留学生）

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1.嵌入物理模型的机器学习辅助热耦合精馏序列优化合成方法 — 国家自然科学基金青年科学基金项目

2.考虑传质影响的气泡动力学模型 — 企业横向

3.石油基乙烯流程工艺仿真软件 — 国家重点研发计划“工业软件”重点专项项目子课题

4.反应传递耦合的填充床层结构介尺度调控优化 — 化学工程联合国家重点实验室开放课题（已完成）

5.面向高盐废水膜集成系统的高效率能量回收装置研制 — 天津大学自主创新基金（已完成）

6.大型塔气相流速分布CFD模拟研究 — 国外企业横向（已完成）

7.全热耦合精馏塔（隔板精馏塔）

1. Yin Y, Kou C, Jia S, Lu L, Yuan X, Luo Y. PCDMD: Physics-constrained dynamic mode decomposition for accurate and robust forecasting of dynamical systems with imperfect data and physics. Computer Physics Communications. 2024, 304, 109303.

2. Kou C, Yin Y, Zeng Y, Jia S, Luo Y, Yuan X. Physics-informed neural network integrate with unclosed mechanism model for turbulent mass transfer. Chemical Engineering Science. 2024;288.

3. Sun G, Jia S, Shi J, Luo Y, Jiang Z, Yuan X. Energy storage efficiency in artificial photosynthesis – An evaluation method in engineering perspective. Energy Conversion and Management. 2023;292.

4. Qian X, Lin KH, Jia S, Biegler LT, Huang K. Nonlinear model predictive control for dividing wall columns. AIChE Journal. 2023;69(6).

5. Kou C, Jia S, Yuan X, Luo Y. Deep multi-field network for physical and concentration field prediction of TDM reactor under different carbon particle distributions. Chemical Engineering Science. 2023;280.

6. Qian X, Jia S, Yuan Y, An Y, Chen H, Huang K, et al. Reconstruction and prediction of state variables in distillation/absorption processes under off-design and limited measurement conditions. Chemical Engineering Science. 2022;258.

7. Liu X, Jia S, Luo Y, Yuan X. Smooth penalty function method for rigorous optimization of distillation processes. AIChE Journal. 2022;68(3).

8. Qian X, Jia S, Huang K, Chen H, Yuan Y, Zhang L. Model predictive control of azeotropic dividing wall distillation column for separating furfural–water mixture. ISA Transactions. 2021;111:302-8.

9. Qian X, Jia S, Huang K, Chen H, Yuan Y, Yuan X, et al. MPC-PI cascade control for the Kaibel dividing wall column integrated with data-driven soft sensor model. Chemical Engineering Science. 2021;231.

10. Cao X, Liu R, Lu Y, Jia S, Yuan X. Application of the thermally coupled extractive distillation for recycling octafluoropropane based on thermoeconomic analysis. Separation and Purification Technology. 2021;279.

11. Qian X, Jia S, Huang K, Chen H, Yuan Y, Zhang L. Optimal design of Kaibel dividing wall columns based on improved particle swarm optimization methods. Journal of Cleaner Production. 2020;273.

12. Cao X, Zhou M, Jia S, Yuan X, Yu KT. Maxwell–Stefan diffusion coefficient model derived from entropy generation minimization principle for binary liquid mixtures. Chemical Engineering Science. 2019;207:30-8.

13. Jia S, Cao X, Qian X, Liu X, Luo Y, Yuan X. Boundary function method for stage number optimization for multi-stage distillation process design. Chemical Engineering Science. 2023;276.

14. Jia S, Yuan X, Yu KT. The investigation of gas distributor in column inlet section based on topology optimization. Chemical Engineering Science. 2022;248.

15. Jia S, Qian X, Liu X, Luo Y, Yuan X. A new efficiency relaxation model for rigorous stage number optimization of distillation columns. Chemical Engineering Science. 2022;260.

16. Jia S, Cao X, Wang F, Zhang C, Yuan X, Yu KT. Renormalization group method for the turbulent mass transport two-equation model. Chemical Engineering Science. 2022;249.

17. Jia S, Cao X, Yuan X, Yu KT. Multi-objective topology optimization for the solar thermal decomposition of methane reactor enhancement. Chemical Engineering Science. 2021;231.

18. Jia S, Qian X, Yuan X, Skogestad S. Control structure comparison for three-product Petlyuk column. Chinese Journal of Chemical Engineering. 2018;26(8):1621-30.

19. Jia S, Qian X, Cao X, Luo Y, Yuan X, Yu KT. A criterion beyond conservation equations for complex transport process modeling – A case of Rayleigh-Bénard convection. Chemical Engineering Science. 2018;182:44-55.

20. Jia S, Zhang C, Yuan X, Yu KT. An optimization approach to find the thermodynamic limit on convective mass transfer enhancement for a given viscous dissipation. Chemical Engineering Science. 2016;146:26-34.