Development of Numerical Methods for Structural and Mechanical Analysis of Materials and Their Applications
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Simulation and Design".
Deadline for manuscript submissions: closed (30 December 2021) | Viewed by 367
Special Issue Editors
Interests: computational mathematics; computational mechanics; composite materials; multiscale modeling and simulation; finite element method
Interests: computational materials science; alloys and compounds; material genome; first-principles calculation; molecular dynamics
Interests: computational mathematics; computational mechanics; composite materials; multiscale modeling and simulation; finite element method
Special Issue Information
Dear Colleagues,
Computers have become an important tool for all kinds of scientific research. From the interpretation of experimental data to the calculation of various physical and chemical properties, scientific computation is playing an increasingly important role in contemporary materials science and engineering. The numerical method of high performance is a key step in applying advanced computers to diverse scientific research. This Special Issue of Materials—"Development of Numerical Methods for Structural and Mechanical Analysis of Materials and Their Applications”, aims to promote research into big data science on materials and material genome engineering, and to accelerate the crossover integration of computational science and advanced materials research.
It is our pleasure to invite you to publish your brilliant work in the form of regular articles, short communications, or reviews in this Special Issue. The topics of interest include, but are not limited to:
- Numerical methods for multi-scale structural and mechanical analysis of materials;
- Numerical methods for large deformation analysis of materials (including finite strains, etc.);
- Numerical methods for studying the physical properties of materials (e.g., thermal, electric–magnetic, and optical properties);
- Numerical methods for material fracture and failure simulations;
- Numerical algorithms for extracting material structure information based on experimental data;
- Numerical methods for the high-throughput search and optimization of material structures;
- Research into and applications of AI algorithms based on materials databases;
- The parallel calculation of materials’ mechanical properties.
Prof. Dr. Junzhi Cui
Prof. Dr. Shaoqing Wang
Prof. Dr. Liqun Cao
Guest Editors
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. Materials is an international peer-reviewed open access semimonthly 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
- configuration optimization
- data digging
- AI algorithm
- multiscale simulation
- material big data
- parallel computation
- material genome
- material design
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