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Processing Methods, Microstructure, and Mechanical Properties of Alloys

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 358

Special Issue Editors


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Guest Editor
Scientific and Didactic Laboratory of Nanotechnology and Materials Technologies, Silesian University of Technology, 44-100 Gliwice, Poland
Interests: AI modeling; machine learning; structure-property relationships; computational simulations
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechatronics and Mechanical Systems Engineering, Polytechnic School—University of Sao Paulo, São Paulo 05508-030, SP, Brazil
Interests: manufacturing; fabrication; materials; mechanical properties
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Post-Graduation Program, University Center SENAI CIMATEC, Salvador 41650-010, BA, Brazil
Interests: metallurgy; welding; manufacturing

Special Issue Information

Dear Colleagues,

Alloys are essential materials in modern engineering due to their adaptability to possess versatile properties, ranging from high strength to corrosion resistance. However, optimizing their performance requires advanced processing techniques, thorough microstructural analysis, and innovative predictive tools. The integration of artificial intelligence (AI) and computational modeling has emerged as a powerful approach to accelerate the discovery of new alloys and predict their performance based on microstructural evolution. Understanding these correlations is essential for developing advanced materials with improved mechanical properties.

This Special Issue aims to bring together cutting-edge research and comprehensive reviews that focus on innovative processing techniques, microstructure–property relationships, and performance improvements in alloys, with an emphasis on both experimental and AI-driven research. Submissions may explore (but are not limited to) the following topics:

  • Additive manufacturing and novel alloy processing methods;
  • Microstructural analysis and phase transformations;
  • Mechanical behavior, failure mechanisms, and durability;
  • Alloy design for specific applications;
  • AI modeling, machine learning, and computational simulations.

We look forward to receiving your high-quality contributions.

Prof. Dr. Wojciech Sitek
Prof. Dr. Gilmar Ferreira Batalha
Prof. Dr. Rodrigo Santiago Coelho
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. Applied Sciences 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 2400 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

  • alloy processing
  • microstructure
  • mechanical properties
  • additive manufacturing
  • phase transformations
  • failure mechanisms
  • heat treatment
  • material characterization
  • AI modeling
  • machine learning
  • structure–property relationships
  • computational simulations

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Published Papers

This special issue is now open for submission.
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