Abstract:Materials development revolutionizes all aspects of our lives. However, the traditional approaches for the design and manufacturing of materials are often unsustainable and resource-intensive. Limited by sparse,
Materials development revolutionizes all aspects of our lives. However, the traditional approaches for the design and manufacturing of materials are often unsustainable and resource-intensive. Limited by sparse, decentralized data, and the performance frontier of existing product lines, new materials can take decades to develop. Applications of machine learning and artificial intelligence have been a transformative paradigm for materials science. As materials informatics has matured from a niche area of research into an established discipline, distinct frontiers of this discipline have come into focus, and best practices for applying machine learning to materials are emerging. This talk will discuss case studies of how machine learning accelerates the development of higher-performing products.
What You’ll Learn:
In this talk, I will share very original case studies being performed by AI Materia for the materials/manufacturing industry.
Dr. Maryam Emami is the Chief Executive Officer at AI Materia, a materials informatics platform company. AI Materia technology helps materials companies to discover, manufacture, and design advanced materials in 80% less time compared to traditional approaches.
In addition to her role at AI Materia, Maryam works with materials and manufacturing companies as an advisor around digital transformation and innovation.
She earned her Ph.D. and M.Sc. in Chemical Engineering from McMaster University and holds a B.Sc. in Petroleum Engineering. Her primary interest is the development and validation of physics-informed machine learning methods specific to applications in advanced manufacturing. She is a designated professional engineer, P.Eng
(Thursday) 3:05 PM - 3:35 PM