atomistic simulations
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Author(s):  
Pedro López ◽  
María Aboy ◽  
Irene Muñoz ◽  
Iván Santos ◽  
Luis A. Marqués ◽  
...  
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Author(s):  
Bhanu Prasad Bhowmik ◽  
H. G. E. Hentchel ◽  
Itamar Procaccia

Abstract Fatigue caused by cyclic bending of a piece of material, resulting in its mechanical failure, is a phenomenon that had been studied for ages by engineers and physicists alike. In this Letter we study such fatigue in a strip of athermal amorphous solid. On the basis of atomistic simulations we conclude that the crucial quantity to focus on is the accumulated damage. Al- though this quantity exhibits large sample-to-sample fluctuations, its dependence on the loading determines the statistics of the number of cycles to failure. Thus we can provide a scaling theory for the Wo ̈hler plots of mean number of cycles for failure as a function of the loading amplitude.


2022 ◽  
Vol 13 (1) ◽  
Author(s):  
Lin Jiang ◽  
Mingyu Gong ◽  
Jian Wang ◽  
Zhiliang Pan ◽  
Xin Wang ◽  
...  

AbstractThe abrupt occurrence of twinning when Mg is deformed leads to a highly anisotropic response, making it too unreliable for structural use and too unpredictable for observation. Here, we describe an in-situ transmission electron microscopy experiment on Mg crystals with strategically designed geometries for visualization of a long-proposed but unverified twinning mechanism. Combining with atomistic simulations and topological analysis, we conclude that twin nucleation occurs through a pure-shuffle mechanism that requires prismatic-basal transformations. Also, we verified a crystal geometry dependent twin growth mechanism, that is the early-stage growth associated with instability of plasticity flow, which can be dominated either by slower movement of prismatic-basal boundary steps, or by faster glide-shuffle along the twinning plane. The fundamental understanding of twinning provides a pathway to understand deformation from a scientific standpoint and the microstructure design principles to engineer metals with enhanced behavior from a technological standpoint.


Author(s):  
Clémentine Panetier ◽  
Yves PIPON ◽  
Clotilde Gaillard ◽  
Denis Mangin ◽  
Jonathan Amodeo Amodeo ◽  
...  

2022 ◽  
Author(s):  
Dylan Bayerl ◽  
Christopher Michael Andolina ◽  
Shyam Dwaraknath ◽  
Wissam A Saidi

Machine learning potentials (MLPs) for atomistic simulations have an enormous prospective impact on materials modeling, offering orders of magnitude speedup over density functional theory (DFT) calculations without appreciably sacrificing accuracy...


2022 ◽  
Author(s):  
Kristian Poll ◽  
Mark Sims

Partially-fluorinated mesogens exhibit some of the most significant de Vries behaviour (anomalously low layer shrinkage at the SmA – SmC transition) reported experimentally, making them of particular interest for technological...


2021 ◽  
Vol 130 (24) ◽  
pp. 244301
Author(s):  
B. Ding ◽  
H. Y. Song ◽  
M. R. An ◽  
M. X. Xiao ◽  
Y. L. Li

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