Journal of Model Based Research

Aims and Scope

Journal of Model-based Research is international Open Access, peer-reviewed journal dedicated to advancing research in mathematical, computational, and graphical modeling techniques across multiple scientific and engineering disciplines. The journal serves as a platform for the cross-disciplinary exchange of ideas, methodologies, and applications related to model-based approaches in solving complex problems.  

The journal welcomes submissions from diverse fields, including but not limited to:  

• Mathematical and Computational Modeling: Theoretical frameworks, algorithm development, simulation techniques, and predictive modeling.  
• Graphical and Visual Modeling: Model-based design in engineering, artificial intelligence, robotics, and virtual environments.  
• Systems and Control Theory: Optimization of control processes, feedback systems, and cyber-physical system modeling.  
• Machine Learning & Data-Driven Modeling: Artificial Intelligence-enhanced predictive analytics, deep learning applications, and computational intelligence.  
• Scientific and Industrial Applications: Model-based problem-solving in physics, chemistry, biology, environmental science, and materials science.  
• Engineering and Technology Innovations: Applications in aerospace, automotive, civil engineering, and energy systems.  
• Healthcare & Biomedical Modeling: Disease progression models, epidemiological modeling, and patient-specific computational simulations.  
• Financial & Economic Modeling: Risk assessment, market forecasting, and decision-making strategies using model-based approaches.  
• Interdisciplinary Research & Societal Impact: The role of model-based methodologies in policymaking, social sciences, and sustainability.  
   

Few keywords were specified, which belongs to the scope of the journal, not strictly limited. For more information contact us at [email protected]

• Optimization in modelling and simulation
• Functional Specification
• Drug design
• Model-driven Engineering
• Graphical Modeling
• Molecular-dynamics simulations
• Homology modeling
• Scientific Modelling
• Computational intelligence machine learning methods
• Computational mechanics of solids and fluids
• Offline Simulation
• Design-Based Research
• Model-based Controller
• Model
• Simulation
• Reinforcement learning
• Operations research
• Management science
• Mathematical Model
• V-model
• Computer-aided molecular design
• Rational drug design
• Simulation visualisation
• Modelling and simulation languages
• Molecular modeling
• Systems Engineering
• Multi-scale simulations
• New computational
• Molecular Modeling
• Model-based approach
• Agent-based modelling and simulation
• Data-driven modelling and simulation
• Stochastic and polymorphic uncertainity models
• High performance simulation
• Conceptual Models
• Model-Based Design
• Model based learning
• Plant modeling
• Numerical modelling of materials
• Computational simulation methodologies
• Model verification and validation
• Real-time Simulation
• Action regulation
• Receptor modeling
• Combined quantum mechanical
• Computer-aided molecular design