Foundational Research Gaps and. Dieser Artikel ist nicht verfügbar.
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
Sprache: Englisch
Verlag: National Academies Press, 2024
- Softcover
- Gebraucht
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
Verkäufer:in bei ZVAB seit 20. Dezember 2007
Zustand: Gebraucht - Befriedigend
EUR 19,27
Artikelbeschreibung des Verkäufers
Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Bestandsnummer des Verkäufers 00105169096
- Titel
- Foundational Research Gaps and
- Autor
- 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
- Verlag
- National Academies Press
- Erscheinungsjahr
- 2024
- Zustand
- Good
- Einband
- Softcover
- Sprache
- Englisch
- ISBN-10
- 0309700426
- ISBN-13
- 9780309700429
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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