AI for Materials Driven Innovation in Microelectronics - Roadmap Development

This roadmapping workshop will provide a perspective on where and how AI plays a critical role in advancing materials driven innovation in microelectronics fabrication and how this can be leveraged for a future NSF Engine. Some of the issues we will consider include: how to harness AI for multiscale characterization, integrating sustainability metrics into the design of materials with enhance functionality and linking materials discovery to device performance. The role of harnessing materials science informed AI in the development of databases and digital twins is also discussed.

What you will help define:

A roadmap as to what, why and how AI should be used in driving materials development for innovation in microelectronics
Suggestions of what we can do for the Engine proposal
What would we need from our partners, including capabilities available at University of Buffalo.

Agenda

9:00AM – 10:00AM

Introductions
Framing of the problem.
Agenda Review
Landscape of Federal Funding opportunities

10:00AM – 11:00AM

Where does the AI come in? Connection between AI and where it fits into everyone’s perceived needs or interest.
What is the definition of AI that we are dealing with here today
What is a materials issue/problem and where does
AI come into that
Enhance the manufacturing – working with equipment suppliers

11:00AM – 1:00PM