Advancing AI & Thermal Engineering Progress
Artificial Intelligence in Thermal Science and Engineering Progress (AITSEP) publishes original, high-quality research covering the full spectrum from fundamental thermodynamics to AI-driven engineering applications. The journal bridges fundamental thermal science, data-driven methodology, machine learning, and emerging engineering systems addressing global challenges in energy, smart cities, and industrial decarbonization.
Key Subject Areas & Scope
Intelligent Energy Systems and Smart Grids
AI-enabled grid balancing, predictive load management, dynamic energy distribution, decentralized renewable microgrids, and digital twin architectures for smart electrical networks.
AI in Heat Transfer, Thermal Management, and Energy Storage
Machine learning modeling of convective, conductive, and radiative heat transfer, battery thermal management systems (BTMS), phase change materials (PCM), and phase-change analytics.
Renewable and Low-Carbon Energy Technologies
Solar thermal optimization, geothermal systems, hydrogen fuel cells, biomass energy, carbon capture utilization and storage (CCUS), and zero-emission thermal cycles.
Industrial Process Optimization using AI
Data-driven control algorithms, predictive maintenance of heat exchangers and turbines, energy-efficient manufacturing, chemical process heat recovery, and combustion optimization.
Smart Thermal Systems in Agri-Food and Built Environments
HVAC intelligent automation, energy-plus building envelopes, cold chain logistics, precision agri-food drying systems, and sustainable food processing thermal cycles.
Policy, Regulation, and AI-Driven Energy Strategy
Techno-economic modeling, carbon pricing strategies, life cycle assessment (LCA), AI governance in energy infrastructure, and policy frameworks for industrial decarbonization.
Interdisciplinary Impact & Focus
AITSEP welcomes contributions on intelligent energy systems, smart thermal technologies, and AI-enabled optimization with direct relevance to academia, policymakers, industrial practitioners, and practicing engineers. We emphasize methodological rigor combined with real-world applicability.
Accepted Manuscript Types
Original Research Articles
Full-length papers reporting novel computational, experimental, or analytical findings with thorough validation.
Review Articles
Comprehensive, critical evaluations of emerging themes in AI and thermal sciences with future outlooks.
Short Communications
Rapid publications of urgent, high-impact preliminary discoveries or breakthrough methodologies.
Perspectives & Case Studies
Insightful analyses of industrial applications, policy implications, or benchmark datasets.
Ready to publish your research?
Review the author guidelines or start your online submission today.