Multiscale Mechanics of Biomaterials
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 781
Special Issue Editors
Interests: multiscale biomechanics; image-based modeling; cardiovascular diseases; orthodontic design; machine learning/AI for biomechanics
Interests: stent optimization; abusive head trauma; ocular injury; mutiscale materials characterization; simulation-driven AI/ML
Special Issues, Collections and Topics in MDPI journals
Interests: biomechanics; finite element modeling; glaucoma; traumatic brain injury
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biomaterials always show structural variations across multiple length scales, which further determine their mechanical behavior. A comprehensive understanding of the multiscale mechanics of biomaterials is essential for revealing their complex behavior, understanding the pathological mechanisms of specific diseases, and facilitating biomaterial fabrication and tissue engineering. Mechanical behaviors at different scales have been characterized using various experimental methods, including atomic force microscopy, nanoindentation, and uniaxial or biaxial tension/compression testing. However, the connections between different length scales—especially how mechanical behavior at the microscale affects the global or structural behavior of tissues—still require more investigation. The development of advanced testing techniques at the micro and nano scales, along with progress in computational modeling and machine learning methods, offers new opportunities to explore and better understand the complex mechanical behavior of biomaterials across scales. These approaches help reveal the structure-function relationships that are often difficult to capture through experiments alone. This Special Issue aims to attract original research papers focusing on mechanical characterization of biomaterials across multiple length scales using innovative experimental, simulation, and machine learning techniques, as well as their application in biomedical engineering, such as early diagnosis of diseases, biomaterial fabrication, and tissue engineering.
Dr. Pengfei Dong
Prof. Dr. Linxia Gu
Dr. Yi Hua
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 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. Bioengineering 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 2700 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
- multiscale mechanics
- atomic force microscopy
- machine learning
- biomaterials
- finite element method
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