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Use of Multi-Scale Simulation for Material Innovation

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Physical Chemistry and Chemical Physics".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 1750

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Guest Editor
BIOVIA Materials Science Principal Scientist, Dassault Systems Biovia K.K., ThinkPark Tower 21F, 2-1-1 Osaki, Shinagawa-ku, Tokyo 141-6020, Japan
Interests: density functional theory; material designing; computational chemistry; inorganic catalytic material; catalytic reactions; inorganic membrane;  transition state calculation; atomistic simulation; ab initio first principle calculation; reactivity index
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Special Issue Information

Dear Colleagues,

We are living in a material world, designing functional material is key. In absence of validated data for materials, one therefore need to perform high throughput simulation to generate good property data to run data modeling to innovate new material in today’s world of informatics. Molecular modeling based on molecular structure can be used to predict key properties to gain insight into the behavior of the materials and calculate properties that are relevant to material engineers. Macro scale simulation is in place to look into device properties, where the material properties comes from some standard database (there are very few databases with mixed material properties) as input and if unavailable it still is a guess, and with a vast new materials in practice; this is becoming a challenging task.  Multi-scale simulation is therefore is an effort to link the gap between microscale to macro-scale through meso-scale. In this time with  a new demand for new materials is the time to have the special issue to improve our understanding on this.

Dr. Abhijit Chatterjee
Guest Editor

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Keywords

  • multi-scael
  • molecular modeling
  • structure property
  • micro to meso scale
  • meso scale to macro sacle

Published Papers (1 paper)

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Research

21 pages, 12311 KiB  
Article
A Multi-Scale Study on Deformation and Failure Process of Metallic Structures in Extreme Environment
by Zhi-Hui Li, Chenchen Lu, Aiqiang Shi, Sihan Zhao, Bingxian Ou and Ning Wei
Int. J. Mol. Sci. 2022, 23(22), 14437; https://doi.org/10.3390/ijms232214437 - 20 Nov 2022
Viewed by 1297
Abstract
It is a macro-micro model study for defect initiation, growth and crack propagation of metallic truss structure under high engine temperature and pressure conditions during the reentry atmosphere. Till now, the multi-scale simulation methods for these processes are still unclear. We explore the [...] Read more.
It is a macro-micro model study for defect initiation, growth and crack propagation of metallic truss structure under high engine temperature and pressure conditions during the reentry atmosphere. Till now, the multi-scale simulation methods for these processes are still unclear. We explore the deformation and failure processes from macroscale to nanoscale using the Gas-Kinetic Unified Algorithm (GKUA) and all-atomic, molecular dynamic (MD) simulation method. The behaviors of the dislocations, defect evolution and crack propagation until failure for Aluminum-Magnesium (Al-Mg) alloy are considered with the different temperature background and strain fields. The results of distributions of temperature and strain field in the aerodynamic environment obtained by molecular dynamics simulations are in good agreement with those obtained from the macroscopic Boltzmann method. Compared to the tensile loading, the alloy structure is more sensitive to compression loading. The polycrystalline Al-Mg alloy has higher yield strength with a larger grain size. It is due to the translation of plastic deformation mode from grain boundary (GB) sliding to dislocation slip and the accumulation of dislocation line. Our findings have paved a new way to analyze and predict the metallic structural failure by micro-scale analysis under the aerodynamic thermal extreme environment of the reentry spacecraft on service expiration. Full article
(This article belongs to the Special Issue Use of Multi-Scale Simulation for Material Innovation)
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