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Alexander DowlingAssistant ProfessorDepartment of Chemical and Biomolecular EngineeringUniversity of Notre DameNotre Dame, IN
Environmental and sustainability global challenges are “wickedly” complex. Identifying impactful solutions for these challenges often requires concerted research efforts that span molecular, material, device, systems, andinfrastructure length-scales and transcend disciplines.
In this talk, we argue predictive multi-scale mathematical models, often grounded in scientific theories, provide principled approaches to realize molecular-to-systems engineering. But the selection, training, and validation of said models in practice are often more of an art than a science, despite the recent advances (and hype?) in data science and machine learning. In this talk, we explore systematic, principled approaches to building science-based mathematical models using examples from chemical engineering.