Research

Our group applies mathematical modeling, computational optimization, and uncertainty quantification paradigms to several chemical engineering application related to sustainable energy. Our work spans diverse length and timescales and is highly collaborative.

Uncertainty Quantification, Machine Learning, and Optimization under Uncertainty

 

Uncertainty Quantification and Optimization with Bayesian Hybrid Models

Uncertainty Quantification and Optimization with Bayesian Hybrid Models

Bayesian hybrid models combine physics-based equations with machine learning constructs to correct systematic biases (epistemic uncertainty).

 

Molecular-to-Systems Engineering

Current Funding

National Science Foundation CBET-1917474, Collaborative Research: Development and Application of a Molecular and Process Design Framework for the Separation of Hydrofluorocarbon Mixtures (PI: E. Maginn, Notre Dame) [link]

National Science Foundation CBET-1941596, CAREER: Uncertainty Quantification and Optimization with Hybrid Models for Molecular-to-Systems Engineering (PI: A. Dowling, Notre Dame) [link]

National Science Foundation ECC-1647722, Engineering Research Center for Innovative and Strategic Transformation of Alkane Resources - CISTAR (PI: F. Riberio, Purdue) [link]

National Science Foundation CMMI-1932206-S001, Unifying Principles for the Design and Manufacture of Chemically-Patterned Polymeric Membrane (PI: W. Phillip, Notre Dame) [link]

National Science Foundation, DMS-2029814, MODULUS: Integrative multiscale modeling and multimodal experiments to decode systems-level molecular mecanisms of epithelial systems (PI: M. Alber, U.C. Riverside) [link]

NSF-Simons Center for Quantitative Biology, Morphogenetic cartography: Mapping morphogens to tissue shape through surrogate models and optimization of model-based design of experiments (PI: J. Zartman, Notre Dame)

Department of Energy DE-EE0009103, Optimizing Additive Manufacturing of Thermoelectric Materials using Bayesian Optimization-Enhanced Transfer Learning (PI: T. Luo, Notre Dame)

Department of Energy, Institute for the Design of Advanced Energy Systems (PI: D. Miller, NETL) [link]

Department of Energy, Design and Optimization Infrastructure for Tightly Coupled Hybrid Systems (PI: D. Miller, NETL) [link]

Department of Energy, Carbon Capture Simulation for Industrial Impact (Lead: M. Matuszewsk, NETL) [link]