Aims
ICEE exists because no single peer-reviewed journal adequately serves the convergence of intelligent computing, advanced mathematical modelling, and energy–environmental science. The journal is dedicated to advancing methods that bridge data-driven and physics-based paradigms, and to publishing research with genuine real-world impact.
- Advance intelligent computational methodologies — AI, SciML, fractional calculus, operator learning — for energy and environmental applications.
- Promote interdisciplinary research connecting computational sciences, applied mathematics, engineering, and sustainability.
- Encourage open, reproducible, and transparent research including data and code sharing.
- Support global scientific exchange, diversity of authorship, and sustainable development.
- Maintain an ethical, COPE-compliant, and author-friendly editorial process.
Scope
ICEE welcomes original contributions spanning — but not limited to — the following thematic clusters:
1 Intelligent Computing & Artificial Intelligence
- Machine Learning, Deep Learning, and Reinforcement Learning
- Explainable AI (XAI) and Trustworthy Machine Learning
- Scientific Machine Learning (SciML) and AI for Science
- Physics-Informed Neural Networks (PINNs) and Hybrid AI-Physics Models
- Neural Operators: DeepONet, Fourier Neural Operator (FNO), and variants
- Operator Learning and Reduced-Order Modelling (ROM)
- Generative AI and Foundation Models for Scientific Applications
- Digital Twins and AI-Driven Simulation
- Graph Neural Networks (GNNs) for Engineering Systems
- Large Language Models (LLMs) for Scientific Discovery
- Data Analytics, Big Data, and Computer Vision
2 Computational Methods & Mathematical Modelling
Classical & Mesh-Based Methods
- Finite Element (FEM), Finite Volume (FVM), Finite Difference (FDM), Boundary Element (BEM), Spectral Methods
- Extended FEM (XFEM) and Isogeometric Analysis (IGA)
Modern, Meshfree & Particle Methods
- Lattice Boltzmann Methods (LBM) and Discrete Boltzmann Methods
- Smoothed Particle Hydrodynamics (SPH), Material Point Method (MPM)
- Radial Basis Function (RBF), Meshfree, and Peridynamic Methods
Fractional & Non-Classical Calculus
- Fractional-Order Models: Caputo, Riemann-Liouville, ABC, Conformable Derivatives
- Anomalous Diffusion, Non-Fickian Transport, and Memory-Dependent Formulations
- Fractional PDEs in Porous Media, Heat Transfer, and Fluid Mechanics
- Non-Newtonian, Viscoelastic, and Non-Local Models
Optimisation & Uncertainty Quantification
- Topology Optimisation, Multi-Objective Optimisation, Metaheuristic Algorithms
- Uncertainty Quantification (UQ): PCE, Monte Carlo, Bayesian Inference
- Sensitivity Analysis, Surrogate Modelling, and Response Surface Methods
Multiphysics, HPC & Emerging Simulation
- Multiphysics Coupling, Fluid-Structure Interaction (FSI), Reactive Transport
- Computational Fluid Dynamics (CFD): RANS, LES, DNS
- Porous Media Flow, Reservoir Simulation, and Geomechanics
- High-Performance Computing (HPC), GPU-Accelerated and Parallel Algorithms
3 Energy Systems & Technologies
- Renewable Energy: Solar, Wind, Geothermal, Tidal, and Hybrid Systems
- Hydrogen Technologies: Production, Underground Storage (UHS), Transport, and Fuel Cells
- Carbon Capture, Utilisation, and Storage (CCUS) and CO₂ Sequestration
- Energy Storage: Batteries, Supercapacitors, Thermal Storage, and Power-to-X
- Smart Grids, Microgrids, and Demand-Side Management
- Building Energy Efficiency, Net-Zero Architecture, and Sustainable Power Systems
- Subsurface Energy Systems, Enhanced Geothermal Systems (EGS), and Reservoir Engineering
- Energy Systems Integration, Sector Coupling, and Net-Zero Technologies
4 Environmental Modelling & Sustainability
- Climate and Atmospheric Modelling, Weather Prediction, and Climate Change Adaptation
- Water Systems: Hydrology, Groundwater Flow, and Contaminant Transport
- Atmospheric Water Harvesting (AWH) and the Water-Energy Nexus
- Air and Water Quality Monitoring and Pollution Dispersion Modelling
- Circular Economy, Life Cycle Assessment (LCA), and Industrial Ecology
- Sustainable Infrastructure: Smart Cities, Transportation, and Built Environment
- Ecosystem Modelling, Biodiversity Analytics, and Resilience Engineering
5 Digital Technologies & Advanced Engineering Applications
- Digital Twins, Cyber-Physical Systems, and Smart Monitoring
- Internet of Things (IoT) for Energy and Environmental Applications
- Cloud Computing, Edge Computing, and Federated Learning
- Smart Manufacturing, Process Engineering, and Industrial Digitalisation
- Structural Health Monitoring and Predictive Maintenance
- Biomedical Engineering Applications of Computational Intelligence
Article Types
Research Article
Original contributions reporting new theoretical, computational, or experimental findings. 6,000–12,000 words.
Review Article
Comprehensive critical synthesis of an established research area with analytical commentary. 8,000–15,000 words.
Short Communication
Concise report of significant preliminary or focused results. 2,500–4,000 words.
Technical Note
Novel methods, algorithms, workflows, or instrumentation with demonstrated application. 3,000–6,000 words.
Perspective
Forward-looking viewpoints on emerging challenges and directions from leading experts. 1,500–3,000 words.
Software / Data Paper
Peer-reviewed description of open research software, datasets, or computational tools. 4,000–10,000 words.
Letter to the Editor
Rapid commentary on recently published ICEE articles. Subject to editorial discretion. Up to 1,500 words.