Aims and Scope
- To bring together original research, reviews, and case studies on digital twins across diverse domains from subject matter experts in academia, industry, and government.
- To highlight state-of-the-art technological advances, foundational breakthroughs, innovative solutions, and practical challenges in digital twin development and deployment.
Topics of interest
- Digital twin architectures and reference models
- Human-in-the-loop and human-centered digital twin systems
- Integration with AI, machine learning, and advanced analytics
- Verification, validation, and uncertainty quantification
- Data synchronization and real-time monitoring
- Cybersecurity, privacy, and ethical considerations
- Digital twins in diverse applications
- Standards, protocols, and interoperability
- System resilience, sustainability, and lifecycle analysis using digital twins
- Emerging application domains for digital twins
Benefits of submitting by the deadline
- No article processing charges
- Complimentary language editing
For further details, please contact the editorial office at: info@scifiniti.com
