Conference Tracks
Here are potential tracks for an International Conference on AI-Driven Integrated Data Approaches in Thermal & Atomic Research (AIDATA – 2026)
AI in Thermal Physics & Heat Transfer
- Focus: Application of AI in understanding and optimizing thermal systems.
- AI-based heat transfer modeling (conduction, convection, radiation)
- Smart thermal system design and optimization
- Data-driven thermodynamics
- AI in fluid flow and turbulence modeling
- Nanoscale and microscale heat transfer
- Thermal energy storage and management systems
- AI for renewable and sustainable energy systems
AI in Atomic, Nuclear & Quantum Physics
- Focus: AI applications in atomic-level and quantum-scale physical systems.
- AI-driven atomic and molecular simulations
- Quantum computing in physical sciences
- Nuclear reactor modeling and safety analysis
- Radiation detection and monitoring using AI
- Plasma physics and fusion research
- AI in spectroscopy and imaging techniques
- Quantum materials and condensed matter physics
AI in Chemical Sciences & Molecular Engineering
- Focus: Integration of AI in chemical research and molecular design.
- Machine learning for reaction prediction
- AI in computational chemistry and cheminformatics
- Drug discovery and pharmaceutical applications
- Catalysis and reaction kinetics optimization
- Green chemistry and sustainable processes
- Molecular dynamics simulations using AI
- Polymer and material chemistry innovations
Integrated Data Science for Physical & Chemical System
- Focus: Data fusion and intelligent analytics across physics and chemistry.
- Big data analytics in scientific research
- Data integration from experiments and simulations
- Scientific data management and curation
- Digital twins for thermal and chemical systems
- Multiscale and multiphysics modeling
- High-performance computing with AI integration
- Visualization and interpretation of complex datasets
AI-Driven Materials Science & Nanotechnology
- Focus: Design and discovery of advanced materials using AI.
- AI for materials discovery and design
- Nanomaterials and nanotechnology applications
- Thermal and chemical property prediction
- Smart and functional materials
- Energy materials (batteries, fuel cells, etc.)
- Surface science and interface modeling
- AI in metallurgy and advanced composites
AI in Experimental Physics & Chemistry
- Focus: Intelligent experimentation and automation in laboratories.
- Smart laboratories and autonomous experiments
- AI-assisted instrumentation and measurement
- Real-time data acquisition and analysis
- AI in microscopy and imaging systems
- Sensor data analytics in physical and chemical experiments
- Error reduction and uncertainty quantification
Sustainable Energy, Environment & Industrial Applications
- Focus: Practical applications of AI in energy and environmental systems.
- AI in energy efficiency and thermal systems
- Environmental monitoring and pollution control
- Carbon capture and storage technologies
- AI in chemical process industries
- Sustainable materials and circular economy
- Industrial process optimization using AI
Emerging Trends & Interdisciplinary Innovations
- Focus: Future directions and cross-disciplinary advancements.
- AI in interdisciplinary physical and chemical sciences
- Hybrid AI-physics/chemistry models
- Explainable AI in scientific research
- Ethical considerations in AI-driven science
- AI for education and research methodologies
- Future challenges and opportunities