Ren, B. ., Croiset, E. ., & Ricardez-Sandoval, L. A. (2020). A theoretical study on CO2 electrolysis through synergistic manipulation of Ni/Mn doping and oxygen vacancies in La(Sr)FeO3. Journal of Catalysis, 383. Retrieved from https://www.sciencedirect.com/science/article/pii/S0021951720300348 (Original work published 2020)
Publications
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Wang, H. ., & Ricardez-Sandoval, L. A. (2020). Dynamic optimization of a pilot-scale entrained-flow gasifier using artificial recurrent neural networks. Fuel, 272. Retrieved from https://www.sciencedirect.com/science/article/pii/S0016236120307262 (Original work published 2020)
Zheng, H. ., Ricardez-Sandoval, L. A., & Budman, H. . (2020). Robust estimation and economic predictive control for dynamic metabolic flux systems under probabilistic uncertainty. Computers & Chemical Engineering, 140. Retrieved from https://www.sciencedirect.com/science/article/pii/S0098135420302817 (Original work published 2020)
Rafiei, M. ., & Ricardez-Sandoval, L. A. (2020). New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability. Computers & Chemical Engineering, 132. Retrieved from https://www.sciencedirect.com/science/article/pii/S0098135419306593 (Original work published 2020)
Kimaev, G. ., & Ricardez-Sandoval, L. A. (2020). Artificial neural networks for dynamic optimization of stochastic multiscale systems subject to uncertainty. Chemical Engineering Research and Design, 161. Retrieved from https://www.sciencedirect.com/science/article/pii/S0263876220302823 (Original work published 2020)
Calvo, F. ., Gómez, J. M., Ricardez-Sandoval, L. A., & Alvarez, O. . (2020). Integrated design of emulsified cosmetic products: A review. Chemical Engineering Research and Design, 161. Retrieved from https://www.sciencedirect.com/science/article/pii/S0263876220303208 (Original work published 2020)
Rafiei, M. ., & Ricardez-Sandoval, L. A. (2020). A trust-region framework for integration of design and control. AIChE Journal, 66. Retrieved from https://aiche.onlinelibrary.wiley.com/doi/full/10.1002/aic.16922 (Original work published 2020)
Lan, X. ., Li, Q. ., Zhang, Y. ., Li, Q. ., Ricardez-Sandoval, L. A., & Bai, G. . (2020). Engineering donor-acceptor conjugated organic polymers with boron nitride to enhance photocatalytic performance towards visible-light-driven metal-free selective oxidation of sulfides. Applied Catalysis B: Environmental, 277. Retrieved from https://www.sciencedirect.com/science/article/pii/S0926337320306895 (Original work published 2020)
Piceno-Diaz, E. R., Ricardez-Sandoval, L. A., Gutierrez-Limon, M. A., Mendez-Acosta, H. O., & Puebla, H. . (2020). Robust nonlinear model predictive control for two-stage anaerobic digesters. Industrial & Engineering Chemistry Research, 59. Retrieved from https://pubs.acs.org/doi/full/10.1021/acs.iecr.0c03809 (Original work published 2020)
Palma-Flores, O. ., & Ricardez-Sandoval, L. A. (2020). A Back-Off Approach for Simultaneous Design and Nonlinear Model Predictive Control of Dynamic Systems Under Uncertainty. 2020 Virtual AIChE Annual Meeting. Presented at the. (Original work published 2020)