Advanced Computational Methods and Multiphysics Modeling in Bioengineering and Complex Systems
A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 499
Editors
Interests: computer simulations; machine learning; numerical analysis; high-performance computing; reinforcement learning
Special Issue Information
Dear Colleagues,
This Special Issue invites original research and review articles that focus on the development, analysis, and application of advanced computational methods to complex multiphysics and multiscale systems. We seek contributions that showcase advancements in numerical analysis and diverse computer simulations. We welcome submissions covering a broad spectrum of numerical discretization techniques, including, but not limited to, the Finite Element Method (FEM), Lattice Boltzmann Method (LBM), Finite Volume Method (FVM), Finite Difference Method (FDM), and various meshless methods (e.g., Radial Basis Functions).
A primary focus of this issue is coupled multiphysics problems, particularly within bioengineering and biomedicine. We are interested in research applying computational methods to model phenomena such as Fluid–Structure Interaction (FSI) in cardiovascular or respiratory systems, thermo-fluid dynamics and bioheat transfer for clinical applications, electro-mechanical coupling in cardiac and neural tissues, and porous medium models for tissue perfusion and drug delivery.
Furthermore, we strongly encourage papers that leverage emerging data-driven paradigms to enhance traditional modeling and simulation. This includes the use of Surrogate Modeling, Neural Networks, and Evolutionary Computation for model reduction, optimization, and parameter estimation. Submissions exploring the mathematical foundations and practical application of Physics-Informed Neural Networks (PINNs) to solve biological governing equations are also relevant. This Special Issue aims to be a comprehensive resource representing the state of the art in computational innovations.
Dr. Bogdan Milićević
Dr. Aleksandar Nikolić
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation 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 1800 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
- computational methods
- numerical analysis
- multiphysics modeling
- bioengineering
- biomedicine
- finite element method (FEM)
- lattice Boltzmann method (LBM)
- finite volume method (FVM)
- discontinuous Galerkin methods
- computer simulations
- surrogate modeling
- neural networks
- physics-informed neural networks (PINNs)
- evolutionary computation
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