Modeling of Dynamic Response of Metals

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Computation and Simulation on Metals".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 78

Special Issue Editor


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Guest Editor
State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Interests: molecular dynamics and coarsening modeling; dynamic deformation and damage of metal; energetic structural metals; metal-based composites
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Special Issue Information

Dear Colleagues,

The mechanical response of metallic materials is often accompanied by rich microstructural evolutions, which intercouple with the physical and mechanical properties of materials. Atomistic modeling plays a crucial role in understanding the microscopic mechanism of plastic deformation, phase changes, damage, and so on in metallic materials. In recent years, the rapid development of machine learning (ML) potentials and advanced multiscale simulation methods has provided possible solutions to the limitations of atomistic simulation on the scale of accuracy of interatomic potential and simulation, providing new possibilities for the atomistic modeling of metals. The aim of this Special Issue is to present the advanced achievements of atomistic modeling in the study of the mechanical response of metal materials.

Original research papers and critical reviews that focus  on the following three topics are welcome: (i) new physical understanding of the mechanical response process of metallic materials, especially the structural evolution of plasticity, phase transformation, damage, etc.; (ii) multiscale simulation methods and machine learning (ML) potentials and their applications to metallic materials, including first-principles calculation, potential function development, coarse-grained modeling, etc.; (iii) the development of machine-learning-based approaches, including the training of artificial neural networks, the parameterization of micromechanical models, the verification and choice of models, etc., on the basis of big data generated by atomistic modeling.

Prof. Dr. Jianli Shao
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • plastic deformation
  • phase transformation
  • damage
  • microstructure
  • machine learning potentials
  • multiscale modeling

Published Papers

This special issue is now open for submission.
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