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Multicompartment Models: Overview01:14

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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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Multiscale modelling and simulation: a position paper.

Alfons Hoekstra1, Bastien Chopard2, Peter Coveney3

  • 1Computational Science, Institute for Informatics, Faculty of Science, University of Amsterdam, The Netherlands National Research University ITMO, St Petersburg, Russian Federation a.g.hoekstra@uva.nl.

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Summary
This summary is machine-generated.

Multiscale modeling and simulation, despite successes, requires interdisciplinary research to address key challenges. Addressing these will enhance multiscale computing environments and scientific impact.

Keywords:
classificationerror propagationmultiscale computingmultiscale modellingscale bridgingvalidation

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Area of Science:

  • Multiscale modeling and simulation
  • Computational science
  • Scientific computing

Background:

  • The field of multiscale modeling and simulation has advanced significantly over the last decade.
  • However, numerous critical questions remain underexplored, largely due to research conducted in disciplinary silos.

Purpose of the Study:

  • To highlight the need for a multidisciplinary approach to advance multiscale modeling and simulation.
  • To identify key areas requiring focused research efforts for enhanced model development and application.

Main Methods:

  • The study identifies critical research gaps through critical analysis of the current state of multiscale modeling.
  • It proposes a multidisciplinary research agenda focusing on foundational and applied aspects of multiscale modeling.

Main Results:

  • Lack of consensus on the definition of multiscale modeling.
  • Absence of a generic theory or calculus for multiscale modeling.
  • Challenges in validation and verification (V&V) of multiscale models and numerical error propagation.

Conclusions:

  • A multidisciplinary research effort is crucial to address the identified gaps in multiscale modeling.
  • This collaborative approach will lead to more efficient, well-defined, and usable multiscale computing environments.
  • Such research holds substantial potential for broad impact across numerous scientific disciplines.