Frontiers in Bioengineering and Biotechnology · 2015 · 24 citations · 14 references
Life SciencesBioengineeringPhysiologyBiological Systems ModelingMultiscale ModelingPhysiological Systems ModelingCellular MechanicsComputational ModelingElectrophysiological ModelingMulti-scale Biological ModelingMultiscale Biological ModelingMultiscale Physiological ModelingBiophysical Constitutive ModelingCellular Physiology ModelingComputational PhysiologyCoupled Multiphysics ModelingDeformationMaterial Constitutive ModelingMulti-scale Electrophysiological ModelingTissue-level Physiological Modeling
OpenCMISS is an open-source modeling environment aimed, in particular, at the solution of bioengineering problems. OpenCMISS consists of two main parts: a computational library (OpenCMISS-Iron) and a field manipulation and visualization library (OpenCMISS-Zinc). OpenCMISS is designed for the solution of coupled multi-scale, multi-physics problems in a general-purpose parallel environment. CellML is an XML format designed to encode biophysically based systems of ordinary differential equations and both linear and non-linear algebraic equations. A primary design goal of CellML is to allow mathematical models to be encoded in a modular and reusable format to aid reproducibility and interoperability of modeling studies. In OpenCMISS, we make use of CellML models to enable users to configure various aspects of their multi-scale physiological models. This avoids the need for users to be familiar with the OpenCMISS internal code in order to perform customized computational experiments. Examples of this are: cellular electrophysiology models embedded in tissue electrical propagation models; material constitutive relationships for mechanical growth and deformation simulations; time-varying boundary conditions for various problem domains; and fluid constitutive relationships and lumped-parameter models. In this paper, we provide implementation details describing how CellML models are integrated into multi-scale physiological models in OpenCMISS. The external interface OpenCMISS presents to users is also described, including specific examples exemplifying the extensibility and usability these tools provide the physiological modeling and simulation community. We conclude with some thoughts on future extension of OpenCMISS to make use of other community developed information standards, such as FieldML, SED-ML, and BioSignalML. Plans for the integration of accelerator code (graphical processing unit and field programmable gate array) generated from CellML models is also discussed.
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Large elastic deformations of isotropic materials VII. Experiments on the deformation of rubber
R. S. Rivlin, D. W. Saunders · Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences · 1951 · 1.4K citations
Natural Sciences, Materials Engineering, Materials Science +16
An Overview of CellML 1.1, a Biological Model Description Language
Autumn Cuellar, Catherine M. Lloyd, Poul Nielsen et al. · SIMULATION · 2003 · 352 citations