Nanoseminar in \;C hemistry and Materials
\nBy Dr. L. Ricardez-Sandoval—Department&nb sp\;of Chemical Engineering at the University of Waterloo\, \;Ontario\ , Canada.
\nAbstract: This talk will present the recent efforts made by our group to innovate t he fields of catalyst design for CO2 conversion and chemical pr ocess flowsheet design using advanced active learning methods. In the firs t part of the talk\, potential catalysts for CO2 conversion usi ng CeO2-based materials for Reverse Water Gas Shift (RWGS) reac tion will be presented. Our study combines experimental tests\, density fu nctional theory (DFT) calculations and active learning methods to discover new insights and avenues for catalysis development. The second part of th e talk will present a novel reinforcement learning framework to perform ch emical process flowsheet design that does not require the a priori specifi cation of a superstructure/flowsheet thus promoting exploration and potent ial discovery of new chemical flowsheets. A case study that links our fram ework with Aspen Plus will be presented to demonstrate the potential of ou r RL strategy as a promising tool to find new chemical process flowsheets.
\nShort Bio: \;< /p>\n
Dr. L. Ricardez-Sandoval is a Profes sor in the Department of Chemical Engineering at the University of Waterlo o (UW). Dr. Ricardez-Sandoval holds a Canada Research Chair (Tier II) in M ultiscale Modelling and Process Systems and leads the development of metho ds for optimal design and operations management under uncertainty\, the de velopment of novel CO2 capture and conversion technologies aimed at reduci ng the carbon footprint\, and computer-aided design of novel catalyst mate rials. Dr. Ricardez-Sandoval has published more than 235 journal articles\ , 80 full-length peer-reviewed conference papers\, 5 book chapters and 1 b ook. Dr. Ricardez-Sandoval (h-index: 51) has 15 publications that each hav e been cited more than 100 times and has published numerous publications o n optimal process integration\, modelling and optimization of conventional and emerging CO2 capture technologies\, atomistic and molecular design of novel catalyst materials for CO2 conversion\, chemical looping combustion (CLC) technologies\, and the implementation of machine learning (ML) meth ods for the optimal design and manufacture of nano-scale and macro-scale s ystems and materials. Dr. Ricardez-Sandoval‘s novel contributions in opt imal process integration\, multiscale modelling\, process systems and CO2 capture and conversion technologies have been widely recognized by deliver ing multiple plenary and keynote talks at international conferences\, lead ing the organization of top-tier conferences (e.g. International Program C hair: 2022 DYCOPS-CAB IFAC Symposium) and receiving multiple research-rela ted awards\, e.g.\, the 2024 D.G. Fisher Award sponsored by the Chemical I nstitute of Canada (CIC)\, the NSERC Discovery Accelerator Supplement (201 7)\, and Ontario’s Early Researchers Award (2015). Dr. Ricardez-Sandoval serves as editor for Computers &\; Chemical Engineering\, Digital Chem ical Engineering and the Canadian Journal of Chemical Engineering. More in formation about Dr. Ricardez-Sandoval’s research activities can be found at the following links:
\nhttps://www.linkedin.com/in/luis-ricardez-s andoval-182b72298/
\nhttps://uwaterloo.ca/chemical-process-optimization-mul tiscale-modelling-process-systems/ \;
\nIntroductory Talk by Francisco A. Molina\, \;Junior Machine Learning Engineer at AI Platfor m@ICN2—Automating \;image analysis to accelerate research
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\nHosted by \;Andrés Henao—Artifici al \;Intelligence Platform\, \;Machine Learning Engineer \;at ICN2 \;
DTSTART:20251020T130000 DTEND:20251020T215959 LOCATION:ICN2 Seminar Room\, Campus UAB CATEGORIES:NanoSeminars END:VEVENT END:VCALENDAR