Advances in Digital Biomimetics
A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Biological Optimisation and Management".
Deadline for manuscript submissions: 25 July 2026 | Viewed by 522
Special Issue Editor
Special Issue Information
Dear Colleagues,
Digital biomimetics involves the application of principles and strategies derived from biological systems to address complex challenges in digital technology and design. This interdisciplinary field integrates insights from biology, computer science, engineering, and design to formulate innovative solutions that emulate natural processes and structures.
A notable aspect of this field is the use of artificial intelligence techniques, particularly neural networks, which are inspired by the neural processes of the human brain. Emerging research in digital biomimetics increasingly leverages advanced digital technologies to replicate biological systems and behaviors. This encompasses the development of sophisticated algorithms that mimic natural phenomena, thereby enhancing machine learning capabilities.
Furthermore, digital tools are being utilized to simulate and analyze biological structures, facilitating the creation of novel designs in materials science and engineering. The integration of digital fabrication techniques, such as 3D printing, is enabling the production of biomimetic structures that closely resemble the forms and functions found in nature. As researchers continue to explore the convergence of digital technology and biomimicry, they are unlocking new opportunities for developing smart, adaptive systems capable of responding to environmental stimuli in ways akin to living organisms.
The following topics will be covered:
- Systematic reviews on digital biomimetics;
- Algorithms;
- Digital soft robotics;
- Bio-inspired materials;
- Machine learning;
- Digital twin;
- Three-dimensional printing;
- Neural networks;
- Adaptive systems;
- Environmental monitoring;
- Data mining;
- Bioinformatics;
- Data analysis and pattern recognition;
- Simulation software;
- Human–computer interaction (HCI);
- Healthcare applications;
- Smart sensors;
- Virtual environment.
Prof. Dr. Ameersing Luximon
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 250 words) can be sent to the Editorial Office for assessment.
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. Biomimetics 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 2200 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
- systematic reviews on digital biomimetics
- algorithms
- digital soft robotics
- bio-inspired materials
- machine learning
- digital twin
- three-dimensional printing
- neural networks
- adaptive systems
- environmental monitoring
- data mining
- bioinformatics
- data analysis and pattern recognition
- simulation software
- human–computer interaction (HCI)
- healthcare applications
- smart sensors
- virtual environment
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