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Foundational Research Gaps and Future Directions for Digital Twins

National Academies of Sciences | Engineering | and Medicine | National Academy of Engineering | Division on Earth and Life Studies | Division on Engineering and Physical Sciences | Board on Atmospheric Sciences and Climate | Board on Life Sciences | Computer Science and Telecommunications Board | Committee on Applied and Theoretical Statistics | Board on Mathematical Sciences and Analytics | Committee on Foundational Research Gaps and Future Directions for Digital Twins
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A01=Board on Atmospheric Sciences and Climate
A01=Board on Life Sciences
A01=Board on Mathematical Sciences and Analytics
A01=Committee on Applied and Theoretical Statistics
A01=Committee on Foundational Research Gaps and Future Directions for Digital Twins
A01=Computer Science and Telecommunications Board
A01=Division on Earth and Life Studies
A01=Division on Engineering and Physical Sciences
A01=National Academies of Sciences
A01=National Academy of Engineering
and Medicine
Author_Board on Atmospheric Sciences and Climate
Author_Board on Life Sciences
Author_Board on Mathematical Sciences and Analytics
Author_Committee on Applied and Theoretical Statistics
Author_Committee on Foundational Research Gaps and Future Directions for Digital Twins
Author_Computer Science and Telecommunications Board
Author_Division on Earth and Life Studies
Author_Division on Engineering and Physical Sciences
Author_National Academies of Sciences
Author_National Academy of Engineering
Category=PB
Category=U
Category=UB
Engineering
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eq_computing
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eq_non-fiction

Product details

  • ISBN 9780309700429
  • Dimensions: 152 x 229mm
  • Publication Date: 28 Mar 2024
  • Publisher: National Academies Press
  • Publication City/Country: US
  • Product Form: Paperback
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Description

Across multiple domains of science, engineering, and medicine, excitement is growing about the potential of digital twins to transform scientific research, industrial practices, and many aspects of daily life. A digital twin couples computational models with a physical counterpart to create a system that is dynamically updated through bidirectional data flows as conditions change. Going beyond traditional simulation and modeling, digital twins could enable improved medical decision-making at the individual patient level, predictions of future weather and climate conditions over longer timescales, and safer, more efficient engineering processes. However, many challenges remain before these applications can be realized.

This report identifies the foundational research and resources needed to support the development of digital twin technologies. The report presents critical future research priorities and an interdisciplinary research agenda for the field, including how federal agencies and researchers across domains can best collaborate.

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