BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Events//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTART;TZID="Pacific Time (US & Canada)":20260410T103000
DTEND;TZID="Pacific Time (US & Canada)":20260410T120000
SUMMARY:The School of Mechanical and Materials Engineering Seminar Series, “Hypervelocity impact, high-throughput methods, and AI-driven material design” Presented by Dr. K.T. Ramesh
LOCATION:Engineering Teaching Research Laboratory (ETRL), Pullman, WA
DESCRIPTION:Hypervelocity impact, high-throughput methods, and AI-driven material design\n\nPresented by Dr. K.T. Ramesh, Alonzo G. Decker, Jr., Professor of Science & Engineering, Johns Hopkins University\n\nAbstract\n\nThe use of artificial intelligence (AI) and machine learning (ML) methods in materials design is limited by the availability of sufficient data to enable such design. Consider, for example, the design of structural materials for an application such as spacecraft re-entry into planetary atmospheres. Such materials are subjected to dynamic loading at a range of temperatures, and the material behavior involves mechanisms that cover a range of length scales and timescales. AI-driven design is challenging because only a small number of materials have ever been examined under the relevant conditions. This is largely because of (a) the lack of understanding of hypervelocity impact phenomena, and (b) the high cost of evaluating material performance with conventional methods.\n\nThis talk discusses the development of high-throughput experimental methods, coupled with specific computational approaches, that allow us to create large datasets of relevant properties while rapidly exploring the space of possible materials. By coupling these large datasets with ML methods, we seek a new AI-driven autonomous research approach to materials design. The work is performed within the new Artificial Intelligence for Materials Design (AIMD) Laboratory at Johns Hopkins University.\n\nBiography\n\nK. T. Ramesh is the Alonzo G. Decker, Jr., Professor of Science & Engineering at Johns Hopkins University, and a Professor in the Departments of Mechanical Engineering, Materials Science and Engineering, and Earth & Planetary Sciences. He was the founding Director of the Hopkins Extreme Materials Institute. His research interests are the broad areas of impact and failure of materials under extreme conditions, with specific interests in AI applied to materials design, protection materials, impact processes in planetary science, and impact biomechanics. He has a particular interest in the ways in which creativity can be integrated into the sciences, arts, and engineering. His work has applications in protecting people, structures, and the planet.
BEGIN:VALARM
ACTION:DISPLAY
DESCRIPTION:REMINDER
TRIGGER;RELATED=START:-PT00H15M00S
END:VALARM
END:VEVENT
END:VCALENDAR