Call For Papers
Topics include, but are not limited to:
AI-Driven Materials Discovery
- Materials Informatics and Data-Driven Design
- Machine Learning for Property Prediction
- High-Throughput Computation and Screening
- Inverse Design and Generative Models
- Multi-scale Modeling with AI
- Autonomous and Self-driving Laboratories
Advanced Energy Materials
- Battery and Energy Storage Materials
- Hydrogen Energy Materials
- Catalysis and Photocatalysis
- Carbon Capture and Utilization Materials
- Nanomaterials for Energy Applications
- AI for Energy Materials Design and Optimization
Intelligent Energy Systems
- Smart Grid and Energy Optimization
- Renewable Energy Forecasting (Wind, Solar)
- AI in Energy Management Systems
- Digital Twin of Energy Systems
- Energy Storage System Modeling and Optimization
- Multi-energy System Integration and Control
Sustainable Energy and Carbon Systems
- Carbon Neutrality and Decarbonization Pathways
- Energy–Environment–Economy Systems
- Life Cycle Assessment (LCA)
- Circular Economy and Resource Efficiency
- Climate and Environmental Modeling
- AI for Carbon Neutrality and Climate Modeling
Artificial Intelligence and Machine Learning Methods for Scientific Applications
- Foundation Models and Large Language Models for Scientific Applications
- Physics-Informed Machine Learning and Hybrid AI Modeling
- Graph Neural Networks and Scientific Representation Learning
- Generative AI for Inverse Design and Scientific Discovery
- Reinforcement Learning for Optimization and Control
- Explainable, Uncertainty-Aware and Efficient AI Methods
Ready to Submit Your Paper?
Join us in shaping the future of technology. Welcome to submit your research!
Submit Paper