The confluence of machine learning and multiscale simulations
Multiscale modeling has a long history of use in structural biology, as computational
biologists strive to overcome the time-and length-scale limits of atomistic molecular …
biologists strive to overcome the time-and length-scale limits of atomistic molecular …
[HTML][HTML] MULTICUBED: Multiscale-multiphysics simulation of food processing
RGM van der Sman - Food Structure, 2022 - Elsevier
Following a review of multiscale simulation methodology, and previous examples of
multiscale models from food science, we present our multiscale simulation framework MULTI …
multiscale models from food science, we present our multiscale simulation framework MULTI …
[HTML][HTML] Distributed multiscale computing with MUSCLE 2, the multiscale coupling library and environment
Abstract We present the Multiscale Coupling Library and Environment: MUSCLE 2. This
multiscale component-based execution environment has a simple to use Java, C++, C …
multiscale component-based execution environment has a simple to use Java, C++, C …
Foundations of distributed multiscale computing: Formalization, specification, and analysis
Inherently complex problems from many scientific disciplines require a multiscale modeling
approach. Yet its practical contents remain unclear and inconsistent. Moreover, multiscale …
approach. Yet its practical contents remain unclear and inconsistent. Moreover, multiscale …
Systems immunology: a survey of modeling formalisms, applications and simulation tools
V Narang, J Decraene, SY Wong, BS Aiswarya… - Immunologic …, 2012 - Springer
Immunological studies frequently analyze individual components (eg, signaling pathways) of
immune systems in a reductionist manner. In contrast, systems immunology aims to give a …
immune systems in a reductionist manner. In contrast, systems immunology aims to give a …
Distributed multiscale computations using the MAPPER framework
MB Belgacem, B Chopard, J Borgdorff… - Procedia Computer …, 2013 - Elsevier
We present a global overview of the methodology developed within the MAPPER European
project to design, implement and run a multiscale simulation on a distributed …
project to design, implement and run a multiscale simulation on a distributed …
Multiscale computing with the multiscale modeling library and runtime environment
We introduce a software tool to simulate multiscale models: the Multiscale Coupling Library
and Environment 2 (MUSCLE 2). MUSCLE 2 is a component-based modeling tool inspired …
and Environment 2 (MUSCLE 2). MUSCLE 2 is a component-based modeling tool inspired …
Semi-intrusive uncertainty propagation for multiscale models
A family of semi-intrusive forward uncertainty propagation (UP) methods for multiscale
models is introduced. The methods are semi-intrusive in the sense that inspection of the …
models is introduced. The methods are semi-intrusive in the sense that inspection of the …
A principled approach to distributed multiscale computing, from formalization to execution
In several disciplines, a multiscale approach is being used to model complex natural
processes yet a principled background to multiscale modeling is not clear. Additionally …
processes yet a principled background to multiscale modeling is not clear. Additionally …
Sensitivity analysis based dimension reduction of multiscale models
In this paper, the sensitivity analysis of a single scale model is employed in order to reduce
the input dimensionality of the related multiscale model, in this way, improving the efficiency …
the input dimensionality of the related multiscale model, in this way, improving the efficiency …