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One of the most important models in computational neuroscience is the Hodgkin-Huxley model.
The library is object oriented, and includes the most commonly employed material models in Computational Mechanics.
Models in computational biology, such as those used in binding, docking, and folding, are often empirical and have adjustable parameters.
And the probabilistic representation of word intuition in fact is even better suited as word segmentation standards given the predominance of stochastic models in computational word segmentation.
While domain researchers are experts in their field and apply sophisticated theoretical models in computational simulations, they are not necessarily also HPC experts or IT specialists in general.
The choice of proper turbulence models in computational fluid dynamics is still a challenging issue for accurately predicting outdoor microclimate and thermal comfort conditions in urban planning.
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The integrate-and-fire neuron is a well-established model in computational neuroscience [32, 33].
Also, a method of approximation for the complex geometry of the VHTR core is described for modelling in computational code.
The aim of this work is to understand the role of the micro-mixing model in computational fluid dynamics (CFD) simulations of fast reactions.
The research of cognitive architecture actually began in the 1980s to implement a cognitive model in computational architecture, where the "ACT-R (Adaptive Control of Thought-Rational)" and "Soar" are the most popular cognitive architectures [23].
This paper provides a short historical survey and an overview of state-of-the-art geometric modeling techniques and research issues, and discusses a few selected applications of geometric modeling in computational areas.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com