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- W2505965314 abstract "A new host of materials science problems open up once the task of identifying extreme materials has been automized. This is because optimization condenses the wide range of possible material microstructures into only those that emphasize extraordinary behaviors. In this chapter we ask how materials that have been optimized for a particular task change when the parameters that define the optimization are varied. Specifically, we consider which particle shape cools the fastest in a granular gas. We show that the answer depends crucially on the density and number of elements in the shape and that transitions between classes of optimal shapes take place as these parameters are varied. We use these transitions to isolate new pieces of physics that describe the cooling processes of the gas. More generally, we show how material optimization enables a new workflow to isolate the relevant pieces of physics that govern a material’s bulk behavior." @default.
- W2505965314 created "2016-08-23" @default.
- W2505965314 creator A5078521173 @default.
- W2505965314 date "2015-11-14" @default.
- W2505965314 modified "2023-09-27" @default.
- W2505965314 title "Transitions of Designs" @default.
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- W2505965314 doi "https://doi.org/10.1007/978-3-319-24621-5_5" @default.
- W2505965314 hasPublicationYear "2015" @default.
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