|About this Abstract
|Materials Science & Technology 2020
|Materials Design through AI Composition and Process Optimization
|Artificial Intelligence for Material and Process Design
|Marius Stan, Noah H Paulson, Debolina Dasgupta, Jessica Pan, Joseph A Libera
|On-Site Speaker (Planned)
Modeling properties and evolution of complex systems requires a comprehensive evaluation of data and model quality. With the volume, variety and rate of data generation continuously increasing, human analysis becomes extremely difficult, if not impossible. Fortunately, recent advances in artificial intelligence (AI) have significantly improved R&D methodologies by emphasizing the role of the human-machine partnership. We discuss the development of “intelligent software” that includes elements of AI such as machine learning and computer vision, coupled with reduced-order modeling and Bayesian statistics. We illustrate the value of the approach using examples of material design and real-time optimization of manufacturing processes.