The goal of the M3 MURI project is to create and investigate principled approaches to analysis and decision-making for multi-physics systems that explicitly integrate the breadth of available information sources.
The project has five overall research objectives:
M3 research leverages the mathematical foundations and methods of information theory, decision theory, and machine learning, and brings these elements together in new ways with multidisciplinary design optimization (MDO), multifidelity optimization, uncertainty quantification (UQ), and reduced modeling.
M3 research involves crosscutting research themes of:
(de)composition
statistical learning
exploiting structure
goal-driven uncertainty management
scalable methods
M3 research is organized under three integrated research thrusts:
RT1: Optimal information-source management
RT2: Goal-oriented reduced models for the multi-source multi-physics setting
RT3: Managing coupling in multi-physics systems