What are you trying to do? Articulate your objectives using absolutely no jargon.
My research group develops models for the mechanical behavior of materials using experimental methods, microstructure characterization, and machine learning.
How is it done today, and what are the limits of current practice?
Material models are currently developed with a heavy reliance on mechanical testing, which limits our ability to introduce new materials and manufacturing methods into the market quickly and efficiently.
What is new in your approach and why do you think it will be successful?
Machine learning, guided by the principles of mechanics and physics, has already been demonstrated to develop more accurate models while reducing the heavy reliance on mechanical testing.
Who cares? If you are successful, what difference will it make?
If successful, next-generation materials and structures can be certified faster, accelerating the introduction of, for example, new vehicles for urban air mobility (travel).