DEEP LEARNING FROM NATURE AND MACHINES: FRACTURE AND FATIGUE OF ENGINEERED AND BIOLOGICAL MATERIALS [Plenary Lecture]
Subra SureshGrand Ballroom E
This plenary lecture will provide an overview of recent research illustrating how biomimetics, experiments, computational modeling and physics-informed machine learning algorithms synergistically provide unique insights into the deformation, fracture and fatigue characteristics of diverse classes of engineered and biological materials. Specific examples and applications considered here include: fracture and fatigue of compositionally graded nanostructured metals; metallization of diamond by engineering its elastic strain and fracture at nanoscale for applications in microelectronics and energy storage; deformation, failure and fatigue characteristics of human red blood cells with implications for clinical manifestations and human diseases; and design of plant-based materials for self-actuating soft robotics and as substrates for flexible electronics.
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