EPJ ST Collection: Mechanics of Biological Systems: From Classical Models to AI Innovations

Details

Published on 28 May 2026

Guest Editors: K.V. Nagaraja, Ganesh R. Naik, Sujesh Areekara

Biological systems operate across vast scales, from molecular signaling to whole-organ dynamics. Understanding these processes requires robust mathematical and physical frameworks. While classical mechanics has long provided the foundation for studying biological function, the emergence of Artificial Intelligence (AI) offers unprecedented opportunities to tackle challenges that were previously computationally prohibitive. This Special Issue in The European Physical Journal Special Topics (EPJ ST) aims to showcase research that unifies classical mechanical principles with modern AI innovations. We invite contributions that demonstrate how hybrid physics-AI approaches, multiscale modeling, and advanced numerical simulations can be used to understand, design, and optimize biological systems.

We invite original research articles, mini-reviews, and tutorials on themes including, but not limited to:

• Continuum mechanics and multiscale modeling of tissues and organs.
• Fluid and solid mechanics in physiology, including cardiovascular and pulmonary dynamics.
• Physics-informed neural networks (PINNs) and surrogate modeling for biological transport.
• Mechanobiology and fluid-structure interaction in living systems.
• AI-based applications in prosthetics, implants, and wearable rehabilitation technologies.
• Mathematical models of tumor growth, invasion, and drug delivery.
• Non-Newtonian fluid dynamics and bioconvection.
• Bio-inspired materials and biomimetic mechanical systems.
• Uncertainty quantification and control in biomechanical systems.

This topical collection will be open for submissions from 1 June 2026 and accepted contributions will be published in 2027.

Manuscripts should be submitted to the Editorial Office of EPJ ST via the submission system, and should be clearly identified as intended for the topical issue “Mechanics of Biological Systems: From Classical Models to AI Innovations”. All submissions will undergo a rigorous peer-review process.

Detailed author information can be found in the Submission Guidelines. For the preparation of the manuscripts a special latex template (preferably single-column layout) is available here.

EPJ ST will become a fully open access journal as of 2027.

Contributors can check their open access funding eligibility, prior to submissions, here.

Up to date Open Access agreements can be found here.

Special programs for low-income economies can found here.

Guest Editors:

Dr. K.V. Nagaraja, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru Campus, India, Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Dr. Ganesh R. Naik, College of Medicine and Public Health, Flinders University, Adelaide, Australia, Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Dr. Sujesh Areekara, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru Campus, India, Email: This email address is being protected from spambots. You need JavaScript enabled to view it.