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Simulation-Based Engineering and Science (SBE&S) cuts across disciplines, showing tremendous promise in areas from storm prediction and climate modeling to understanding the brain and the behavior of numerous other complex systems.
In this groundbreaking volume, nine distinguished leaders assess the latest research trends, as a result of 52 site visits in Europe and Asia and hundreds of hours of expert interviews, and discuss the implications of their findings for the US government.
The authors conclude that while the US remains the quantitative leader in SBE&S research and development, it is very much in danger of losing that edge to Europe and Asia.
Commissioned by the National Science Foundation, this multifaceted study will capture the attention of Fortune 500 companies and policymakers.
Distinguished contributors:
Sharon C Goltzer, University of Michigan, Ann Arbor, USA
Sangtae Kim, Morgridge Institute for Research, USA
Peter T Cummings, Vanderbilt University, USA and Oak Ridge National Laboratory, USA
Abhijit Deshmukh, Texas A&M University, USA
Martin Head-Gordon, University of California, Berkeley, USA
George Em Karniadakis, Brown University, USA
Linda Petzold, University of California, Santa Barbara, USA
Celeste Sagui, North Carolina State University, USA
Masanobu Shinozuka, University of California, Irvine, USA
Contents:
- Introduction (Sharon C Goltzer)
- Life Sciences and Medicine (Linda Petzold)
- Materials Simulation (Peter T Cummings)
- Energy and Sustainability (Masanobu Shinozuka)
- Next-Generation Architectures and Algorithms (George Em Karniadakis)
- Software Development (Martin Head-Gordon)
- Engineering Simulations (Abhijit Deshmukh)
- Verification, Validation, and Uncertainty Quantification (George Em Karniadakis)
- Multiscale Simulation (Peter T Cummings)
- Big Data, Visualization, and Data-Driven Simulations (Sangtae Kim)
- Education and Training (Celeste Sagui)
- Appendices:
- Biographies of Panelists and Advisors
- Survey Questionaire
- Bibliometric Analysis of Simulation Research Grant Lewison
- Glossary
Readership: Academics, physicists, engineers, policymakers and graduate students in mathematical modeling, computational physics, super-computing/parallel computing and stochastic analysis.
