This special issue explores the homeostatic effects of antimicrobial agents on biological systems, integrating insights from biology, genetics, molecular biology, medicine, environmental sciences, and engineering disciplines, including mechanical engineering. It investigates how antimicrobial agents maintain biological balance, focusing on antimicrobial efficacy, resistance mechanisms, and novel therapeutic strategies. Emphasis is placed on nanomaterials, nanotechnology, and green synthesis for developing sustainable and effective antimicrobial solutions. The application of thin films, alloys, ceramics, composite materials, polymers, and metals in antimicrobial technologies will also be explored, particularly in biomedical, mechanical, and environmental applications.

In addition, this issue highlights the role of applied mathematics, numerical analysis, and biomathematics in modeling antimicrobial interactions. The use of ordinary differential equations (ODEs), optimal control theory, simulation, and modeling will be explored to predict microbial behavior, resistance evolution, and drug efficacy. Statistical and computational approaches, including fuzzy logic, fuzzy set theory, and machine learning techniques, will be applied to assess antimicrobial efficiency and develop predictive models for treatment optimization. Advances in computer science, artificial intelligence (AI), deep learning, and image processing will be leveraged for real-time pathogen detection, drug screening, and resistance prediction.

Furthermore, interdisciplinary research linking superconductivity and antimicrobial applications will be examined, with a focus on their potential role in medical and engineering technologies. The mechanical, structural, and magnetic properties of antimicrobial materials will also be investigated for their applicability in mechanical engineering, biomedical devices, and industrial applications. Additionally, the environmental impact of antimicrobial agents, particularly their role in pollution control, ecological balance, and sustainable healthcare, will be critically assessed.

By integrating fundamental research, mechanical engineering principles, mathematical modeling, computational techniques, and clinical applications, this special issue aims to advance innovative antimicrobial strategies for public health, infection control, and biomedical innovation, while fostering new interdisciplinary approaches in physics, chemistry, materials science, and engineering.

Antimicrobial Resistance and Biomathematical Modeling, Nanotechnology in Antibacterial Therapy, Molecular and Statistical Approaches to Pathogen Inhibition, Environmental Impact of Antimicrobial Agents, Immunological and Clinical Applications in Infection Control, Public Health, Superconductivity, Optimal Control Theory, ODE, Simulation and Modeling, Nanomaterials, Nanotechnology, Green Synthesis, Applied Mathematics, Numerical Analysis, Computer Science, Artificial Intelligence, Deep learning,  Machine Learning, Image Processing, Mechanical Engineering, Mechanical Properties,