Programmable Metallic Metamaterials: Innovations in Sustainable Design and Smart Architectures
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Metallic Functional Materials".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 71
Special Issue Editor
Interests: computational mechanics; metamaterials; lightweight structures; low-carbon materials; energy materials; fracture mechanics; phase-field modeling; additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The emergence of programmable metallic metamaterials is redefining the landscape of advanced materials, structural mechanics, and sustainable design. Unlike conventional materials, these engineered architectures derive their extraordinary properties from precisely controlled geometries and compositions, enabling unprecedented tunability in stiffness, energy dissipation, negative Poisson’s ratio, and self-regulating behavior.
Recent advancements in additive manufacturing, computational design, and machine learning-driven optimization have expanded the scope of mechanical metamaterials, incorporating metallic structures and alloys that offer enhanced strength, durability, and multifunctionality. These developments are paving the way for breakthroughs in robotics, aerospace, biomedical engineering, and energy-efficient technologies, where lightweight yet robust metallic metamaterials can provide superior mechanical performance and adaptability.
This Special Issue aims to bring together cutting-edge research on the design, modeling, fabrication, and multifunctional applications of programmable metallic metamaterials. We invite contributions on, but not limited to, the following topics:
- Architected and responsive metallic metamaterials;
- Multi-stability, snap-through instabilities, and self-regulating structures;
- Bio-inspired, soft, and shape-memory metallic metamaterials;
- Sustainable, recyclable, and energy-efficient metamaterials;
- Computational design, topology optimization, and AI-driven metamaterial discovery.
We encourage original research articles, comprehensive reviews, and experimental studies that explore next-generation metamaterials, unlocking new functionalities, improved material efficiencies, and enhanced structural performance. This Special Issue will serve as a platform to explore the latest advancements, emerging challenges, and future directions in the field of programmable mechanical and metallic metamaterials.
Dr. Behnam Sobhaniaragh
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
- metallic metamaterials
- programmable materials
- machine learning in materials
- data-driven metamaterials
- AI-driven design
- topology optimization
- additive manufacturing
- sustainable architectures
- smart structures
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