LEADER 04405nam 22007695 450 001 9910254608803321 005 20200705070801.0 010 $a3-319-24621-6 024 7 $a10.1007/978-3-319-24621-5 035 $a(CKB)3710000000515640 035 $a(EBL)4092969 035 $a(SSID)ssj0001584878 035 $a(PQKBManifestationID)16262846 035 $a(PQKBTitleCode)TC0001584878 035 $a(PQKBWorkID)14865056 035 $a(PQKB)11714066 035 $a(DE-He213)978-3-319-24621-5 035 $a(MiAaPQ)EBC4092969 035 $a(PPN)190537086 035 $a(EXLCZ)993710000000515640 100 $a20151113d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe Automated Design of Materials Far From Equilibrium /$fby Marc Z. Miskin 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (105 p.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $aDescription based upon print version of record. 311 $a3-319-24619-4 320 $aIncludes bibliographical references. 327 $aIntroduction -- Artificial Evolution -- Optimization -- Inverse Problems -- Transition of Designs -- Online Design -- Conclusions. 330 $aThis thesis conceptualizes and implements a new framework for designing materials that are far from equilibrium. Starting with state-of-the-art optimization engines, it describes an automated system that makes use of simulations and 3D printing to find the material that best performs a user-specified goal. Identifying which microscopic features produce a desired macroscopic behavior is a problem at the forefront of materials science. This task is materials design, and within it, new goals and challenges have emerged from tailoring the response of materials far from equilibrium. These materials hold promising properties such as robustness, high strength, and self-healing. Yet without a general theory to predict how these properties emerge, designing and controlling them presents a complex and important problem. As proof of concept, the thesis shows how to design the behavior of granular materials, i.e., collections of athermal, macroscopic identical objects, by identifying the particle shapes that form the stiffest, softest, densest, loosest, most dissipative and strain-stiffening aggregates. More generally, the thesis shows how these results serve as prototypes for problems at the heart of materials design, and advocates the perspective that machines are the key to turning complex material forms into new material functions. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aAmorphous substances 606 $aComplex fluids 606 $aBuilding materials 606 $aEngineering design 606 $aEngineering?Materials 606 $aMechanics 606 $aMechanics, Applied 606 $aSoft and Granular Matter, Complex Fluids and Microfluidics$3https://scigraph.springernature.com/ontologies/product-market-codes/P25021 606 $aStructural Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z11000 606 $aEngineering Design$3https://scigraph.springernature.com/ontologies/product-market-codes/T17020 606 $aMaterials Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T28000 606 $aTheoretical and Applied Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15001 615 0$aAmorphous substances. 615 0$aComplex fluids. 615 0$aBuilding materials. 615 0$aEngineering design. 615 0$aEngineering?Materials. 615 0$aMechanics. 615 0$aMechanics, Applied. 615 14$aSoft and Granular Matter, Complex Fluids and Microfluidics. 615 24$aStructural Materials. 615 24$aEngineering Design. 615 24$aMaterials Engineering. 615 24$aTheoretical and Applied Mechanics. 676 $a530 700 $aMiskin$b Marc Z$4aut$4http://id.loc.gov/vocabulary/relators/aut$0814119 906 $aBOOK 912 $a9910254608803321 996 $aThe Automated Design of Materials Far From Equilibrium$92528317 997 $aUNINA