Aims

International Journal of Computational Methods and Experimental Measurements (IJCMEM) is an international peer-reviewed open-access journal devoted to advancing the integration of computational modelling and experimental measurement in science and engineering. The journal provides a platform for high-quality studies aimed at improving prediction accuracy, reliability, and engineering applicability through combined numerical–experimental approaches.

IJCMEM fosters interdisciplinary research that bridges theoretical analysis, simulation techniques, experimental methodologies, and advanced data analytics. The journal welcomes conceptual, numerical, and laboratory-based investigations focusing on materials mechanics, dynamic loading, multiphysics coupling, fluid–structure interaction, thermal analysis, and related domains.

Through its commitment to connecting academic innovation with practical engineering challenges, IJCMEM promotes rigorous research that enhances digital simulation capabilities, strengthens measurement fidelity, and supports informed engineering decision-making. The journal particularly values contributions introducing hybrid modelling strategies, validation frameworks, and instrumentation-driven advancements for improved computational–experimental synergy.

Key features of IJCMEM include:

A strong emphasis on numerical–experimental integration for enhanced engineering accuracy and reliability;
Support for research that advances computational methods, field and laboratory measurements, and hybrid validation techniques;
Encouragement of studies leveraging digital technologies, AI, and advanced instrumentation for improved simulation fidelity;
Promotion of practical insights addressing real-world engineering challenges and decision-support needs;
A commitment to rigorous peer-review standards, research integrity, and timely open-access dissemination of knowledge.

Scope

The International Journal of Computational Methods and Experimental Measurements (IJCMEM) welcomes high-quality contributions that explore the development, application, and validation of computational and experimental techniques across a wide range of scientific and engineering domains. The journal invites submissions covering, though not limited to, the following key areas:

Computational–Experimental Integration and Hybrid Approaches
Studies emphasise the coupling of computational simulations with physical experiments for enhanced accuracy, reliability, and predictive capability. Topics include computer-assisted experimental control, data-driven calibration, hybrid modelling, and closed-loop simulation frameworks that combine real-time experiments with numerical solvers.
Numerical Modeling and Simulation Technologies
Research focusing on the development and implementation of advanced numerical methods for solving nonlinear, multiphysics, and multiscale problems. Areas include finite element, boundary element, meshless, and particle-based methods; computational fluid dynamics; heat transfer and diffusion modelling; and dynamic system simulation.
Experimental Measurement, Validation, and Verification
Innovative experimental methods designed for model validation and verification. Topics include direct, indirect, and in-situ measurements, uncertainty quantification, error propagation, and the establishment of benchmarking standards for computational models.
Data Acquisition, Signal Processing, and Digital Experimentation
Studies addressing new instrumentation, sensor networks, and digital data acquisition systems for experimental analysis. Research in this area covers signal filtering, feature extraction, noise minimisation, big-data processing for experiments, and AI-assisted data interpretation.
Material Behaviour, Characterisation, and Testing
Comprehensive analyses of material response under static, dynamic, and cyclic loading conditions. Topics include fatigue and fracture mechanics, corrosion and wear, contact mechanics, surface effects, environmental degradation, and material property evolution under extreme conditions.
Thermal and Fluid Dynamics
Research in computational and experimental thermofluid sciences, including convection and conduction modelling, multiphase and turbulent flow analysis, phase change processes, and heat transfer in porous or composite media.
Dynamic Loading, Impact, and Seismic Analysis
Studies on structures subjected to shock, blast, impact, or seismic excitations. The journal welcomes integrated computational–experimental work on dynamic testing, structural resilience, and safety evaluation under extreme environments.
Nano- and Microscale Modelling and Measurement
Research focusing on nanomechanics, microscale heat transfer, and interface phenomena. Topics include nanoindentation testing, microstructural modeling, atomic-scale simulations, and the development of nano-enabled experimental and computational methodologies.
Process Control, Optimisation, and Digital Twins
Contributions integrating simulation and experimentation for industrial process control, real-time optimisation, and virtual prototyping. Emphasis is given to the application of digital twin technology and machine learning for predictive monitoring, fault detection, and system optimisation.
Artificial Intelligence and Data-Driven Modelling
Explorations of machine learning, deep learning, and data analytics applied to experimental data interpretation, model calibration, and uncertainty reduction. Research may include surrogate modeling, neural network-based simulations, and hybrid AI–physics-driven computational frameworks.
Multiscale and Multiphysics Coupling
Studies addressing the hierarchical modelling of systems involving coupled physical phenomena—thermal, mechanical, chemical, or electromagnetic interactions—supported by experimental validation across scales.
Instrumentation, Sensors, and Measurement Innovation
Advances in sensor design, optical measurement systems, imaging technologies, and non-invasive diagnostic methods. Topics include digital holography, 3D scanning, tomography, and infrared thermography for computational verification.
Environmental, Structural, and Biomedical Applications
Applications of integrated computational–experimental approaches to environmental degradation, corrosion analysis, seismic and blast resilience, and biomedical problems such as tissue modelling, prosthetic design, and fluid–structure interaction in biological systems.
Reliability, Risk Analysis, and Uncertainty Quantification
Research on model reliability, safety assessment, probabilistic methods, and vulnerability studies. Topics include stochastic simulations, sensitivity analysis, and reliability-based design supported by experimental evidence.
Emerging Fields and Cross-Disciplinary Studies
Explorations into new experimental and computational frontiers, such as additive manufacturing, smart materials, robotics, and metamaterials. Studies highlighting cross-disciplinary methods that integrate physics-based simulations with experimental insights are particularly encouraged.
Case Studies and Applied Innovations
Empirical and applied works demonstrating the use of computational–experimental integration in solving practical engineering challenges. IJCMEM values contributions that translate theoretical advances into real-world design, testing, and performance optimisation.