Rejuvenation of Disorder-Containing Materials
Rejuvenation of Disorder-Containing Materials
复制标题
含无序材料的复兴
DOI：
10.1007/978-3-319-91989-8_85
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Gianola, D.S.
中科院分区：
文献类型：
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作者：
Balbus, G.H.;Echlin, M.P.;Grigorian, C.M.;Rupert, T.J.;Pollock, T.M.;Gianola, D.S.
在这里，我们报告的实验研究的金属玻璃和纳米晶材料和新的合成和加工路线控制的结构状态-因此，机械性能。一个特别的重点将是战略振兴的障碍，抑制剪切本地化和赋予损伤容限的目标。我们还描述了一个由机器学习设计的微观结构量，以最大限度地预测塑性重排，并进一步证明了这种措施与重排的大小和宏观屈服应变之间的因果关系。我们发现，在所有这些数量在无序材料中具有显着的共性，具有极大不同的粒子间相互作用，并跨越了大范围的弹性模量和颗粒尺寸。
Here, we report on experimental studies of metallic glass and nanocrystalline materials and novel synthesis and processing routes for controlling the structural state – and as a consequence, the mechanical properties. A particular focus will be on strategies for rejuvenation of disorder with the goal of suppressing shear localization and endowing damage tolerance. We also describe a microscopic structural quantity designed by machine learning to be maximally predictive of plastic rearrangements and further demonstrate a causal link between this measure and both the size of rearrangements and the macroscopic yield strain. We find remarkable commonality in all of these quantities in disordered materials with vastly different inter-particle interactions and spanning a large range of elastic modulus and particle size.
DOI：
10.1126/science.aai8830
发表时间：
2017-11-24
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Cubuk ED;Ivancic RJS;Schoenholz SS;Strickland DJ;Basu A;Davidson ZS;Fontaine J;Hor JL;Huang YR;Jiang Y;Keim NC;Koshigan KD;Lefever JA;Liu T;Ma XG;Magagnosc DJ;Morrow E;Ortiz CP;Rieser JM;Shavit A;Still T;Xu Y;Zhang Y;Nordstrom KN;Arratia PE;Carpick RW;Durian DJ;Fakhraai Z;Jerolmack DJ;Lee D;Li J;Riggleman R;Turner KT;Yodh AG;Gianola DS;Liu AJ
通讯作者：
Liu AJ