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
