11.18.20-Mining-Markus-Buehler

Conference Video|Duration: 51:02
November 18, 2020
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  • Video details
    What if we could design materials that integrate powerful concepts of living organisms – self-organization, the ability to self-heal, and an amazing flexibility to create astounding material properties from abundant and inexpensive raw materials? What if we could turn waste into functional materials?  This talk will present a review of bottom-up analysis and design of materials for various purposes – as structural materials such as bone in our body or for lightweight, strong and resilient composites, for applications as coatings, and as multifunctional sensors to measure small changes in humidity, temperature or stress. These new materials are designed from the bottom up and through a close coupling of experiment and powerful computation as we assemble structures, atom by atom. Materiomics investigates the material properties of natural and synthetic materials by examining fundamental links between processes, structures and properties at multiple scales, from nano to macro, by using systematic experimental, theoretical and computational methods. We review case studies of joint experimental-computational work of biomimetic materials design, manufacturing and testing for the development of strong, tough and mutable materials for applications as protective coatings, cables and structural materials. We outline challenges and opportunities for technological innovation for materials and beyond, exploiting the use of artificial intelligence as a way to complement conventional physics-based modeling and simulation methods. Altogether, the use of a new paradigm to design materials from the bottom up plays a critical role in advanced manufacturing, providing flexibility, tailorability and efficiency. A few case studies are presented including work with wood waste, algae, sewage sludge and other low-value waste streams that are turned into high-fidelity material platforms using our innovative deep-learning enabled multiscale modeling and experimental platform.
Locked Interactive transcript
Please login to view this video.
  • Video details
    What if we could design materials that integrate powerful concepts of living organisms – self-organization, the ability to self-heal, and an amazing flexibility to create astounding material properties from abundant and inexpensive raw materials? What if we could turn waste into functional materials?  This talk will present a review of bottom-up analysis and design of materials for various purposes – as structural materials such as bone in our body or for lightweight, strong and resilient composites, for applications as coatings, and as multifunctional sensors to measure small changes in humidity, temperature or stress. These new materials are designed from the bottom up and through a close coupling of experiment and powerful computation as we assemble structures, atom by atom. Materiomics investigates the material properties of natural and synthetic materials by examining fundamental links between processes, structures and properties at multiple scales, from nano to macro, by using systematic experimental, theoretical and computational methods. We review case studies of joint experimental-computational work of biomimetic materials design, manufacturing and testing for the development of strong, tough and mutable materials for applications as protective coatings, cables and structural materials. We outline challenges and opportunities for technological innovation for materials and beyond, exploiting the use of artificial intelligence as a way to complement conventional physics-based modeling and simulation methods. Altogether, the use of a new paradigm to design materials from the bottom up plays a critical role in advanced manufacturing, providing flexibility, tailorability and efficiency. A few case studies are presented including work with wood waste, algae, sewage sludge and other low-value waste streams that are turned into high-fidelity material platforms using our innovative deep-learning enabled multiscale modeling and experimental platform.
Locked Interactive transcript