Digital Twins
- Submission status
- Open
- Submission deadline
Digital Twins constitute virtual representations of real-world objects, processes, and systems, created using computational models. In the modern day of man-machine interfaces and human-AI collaboration, Digital Twins constitute a crucial piece of developing technology, as they provide ways of interacting with, understanding, and manipulating real-world objects in a completely virtual space. The common theme across all Digital Twins tech is providing the ultimate optimisation of real-world objects and processes deployment, leading to improved efficiency, reduced costs, and enhanced decision-making. The applications of Digital Twins are continually expanding, and industries keep on turning up with new ways to benefit from their capabilities, making the research on this technology particularly enticing.
This Collection welcomes original, applied research on Digital Twins technology, including simulations and novel data integration approaches.
Editors
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Jun Deng ,
Jun Deng
Yale University, USA
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Fangxin Fang
Imperial College London, UK
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David A. Hormuth
University of Texas at Austin, USA
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Jiewu Leng
Guangdong University of Technology, China
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Ang Liu
University of New South Wales, Australia
