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FEBio: History and Advances.
Maas, Steve A; Ateshian, Gerard A; Weiss, Jeffrey A.
Afiliação
  • Maas SA; Department of Bioengineering and Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah 84112; email: jeff.weiss@utah.edu.
  • Ateshian GA; Department of Mechanical Engineering and Department of Biomedical Engineering, Columbia University, New York, New York 10027.
  • Weiss JA; Department of Bioengineering and Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah 84112; email: jeff.weiss@utah.edu.
Annu Rev Biomed Eng ; 19: 279-299, 2017 06 21.
Article em En | MEDLINE | ID: mdl-28633565
ABSTRACT
The principal goal of the FEBio project is to provide an advanced finite element tool for the biomechanics and biophysics communities that allows researchers to model mechanics, transport, and electrokinetic phenomena for biological systems accurately and efficiently. In addition, because FEBio is geared toward the research community, the code is designed such that new features can be added easily, thus making it an ideal tool for testing novel computational methods. Finally, because the success of a code is determined by its user base, integral goals of the FEBio project have been to offer support and outreach to our community; to provide mechanisms for dissemination of results, models, and data; and to encourage interaction between users. This review presents the history of the FEBio project, from its initial developments through its current funding period. We also present a glimpse into the future of FEBio.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Simulação por Computador / Software / Análise de Elementos Finitos / Modelos Biológicos / Modelos Químicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Simulação por Computador / Software / Análise de Elementos Finitos / Modelos Biológicos / Modelos Químicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article