Research Team Awarded $7.3 Million for Machine Learning Assisted Development of High-Fidelity Two-Phase Models

A collaborative team from Georgia Tech, Purdue University, Case Western Reserve University (CWRU), Michigan State University (MSU), and Brown University have been awarded a combined $7.3 million from the Office of Naval Research (ONR) as part of the Multidisciplinary University Research Initiative (MURI) program. MURI seeks to fund research teams with creative and diverse solutions to complex problems and is a major part of the Department of Defense’s (DoD) research portfolio.

Satish Kumar, Frank H. Neely Professor in the George W. Woodruff School of Mechanical Engineering, along with his collaborators, received the five-year award for their project, Machine learning Enabled Two-pHase flow metrologies, models, and Optimized DesignS (METHODS). Georgia Tech, CWRU, and Brown University will lead efforts of machine learning (ML)-assisted discovery of mechanistic two-phase models and generalized two phase flow model development. Purdue University (lead on the project) and MSU will lead efforts in performing two-phase flow experiments and generating high resolution data for the project.

Read the full story on the George W. Woodruff School of Mechanical Engineering website.