2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Managing Uncertainty in Data-Driven Simulation-Based Optimization G. Hüllen, Zhai, J., Kim, S. Hye, Sinha, A., Realff, M. J., and Boukouvala, F., “Managing Uncertainty in Data-Driven Simulation-Based Optimization”, Computers & Chemical Engineering, vol. 136, p. 106519, 2019.
Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques S. Hye Kim and Boukouvala, F., “Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques”, Optimization Letters, vol. 14, pp. 989-1010, 2019.
Local composition activity coefficient model for mixed-gas adsorption equilibria H. Kaur, Tun, H., Sees, M., and Chen, C. - C., “Local composition activity coefficient model for mixed-gas adsorption equilibria”, Adsorption, vol. 25, pp. 951-964, 2019.
Intensified Ethylene Production via Chemical Looping through an Exergetically Efficient Redox Scheme L. M. Neal, Haribal, V. Pralhad, and Li, F., “Intensified Ethylene Production via Chemical Looping through an Exergetically Efficient Redox Scheme”, iScience, vol. 19, pp. 894-904, 2019.
Hybrid method and associated tools for synthesis of sustainable process flowsheets A. K. Tula, Eden, M. R., and Gani, R., “Hybrid method and associated tools for synthesis of sustainable process flowsheets”, Computers and Chemical Engineering, vol. 131, p. 106572, 2019.
High-Performance Graphene Oxide Nanofiltration Membranes for Black Liquor Concentration Z. Wang, Ma, C., Sinquefield, S. A., Shofner, M. L., and Nair, S., “High-Performance Graphene Oxide Nanofiltration Membranes for Black Liquor Concentration”, ACS Sustainable Chemistry & Engineering, vol. 7, pp. 14915-14923, 2019.
Generalized Modular Representation Framework for the Synthesis of Extractive Separation Systems Y. Tian and Pistikopoulos, E. N., “Generalized Modular Representation Framework for the Synthesis of Extractive Separation Systems”, Computer Aided Chemical Engineering, vol. 47, pp. 475-480, 2019.
A General Framework for Process Synthesis, Integration, and Intensification S. Emre Demirel, Li, J., and Hasan, M. M. Faruque, “A General Framework for Process Synthesis, Integration, and Intensification”, Industrial & Engineering Chemistry Research, vol. 58, pp. 5950-5967, 2019.
Experiments and computations of microfluidic liquid–liquid flow patterns P. Desir, Chen, T. - Y., Bracconi, M., Saha, B., Maestri, M., and Vlachos, D. G., “Experiments and computations of microfluidic liquid–liquid flow patterns”, Reaction Chemistry & Engineering, vol. 5, pp. 39-50, 2019.
Efficiency of Uncertainty Propagation Methods for Estimating Output Moments S. Mohammadi and Cremaschi, S., “Efficiency of Uncertainty Propagation Methods for Estimating Output Moments”, Computer Aided Chemical Engineering, vol. 47, pp. 487-492, 2019.