Your English writing platform
Discover LudwigSuggestions(2)
Exact(11)
The particle mixing model is based on a multiple mapping conditioning (MMC) approach that conditions mixing on a reference field (the reaction progress variable).
This study demonstrates that the scaling laws are suitable to serve as sub-grid scale models for mixture fraction based approaches such as flamelet, conditional moment closure (CMC) or multiple mapping conditioning (MMC) methods.
In this work, a novel variation of the multiple mapping conditioning (MMC) mixing model is proposed.
Multiple mapping conditioning (MMC) has emerged as a new approach to model turbulent reacting flows.
A more general formulation of the multiple mapping conditioning (MMC) model that distinguishes the reference and conditioning variables is suggested.
In Part I of this paper, a novel multiple mapping conditioning (MMC) mixing model is proposed and verified using ideal flow test cases.
Similar(49)
A multiple mapping conditioning/large eddy simulation model (MMC LES) is formulated for turbulent spray flames.
Lebreton, C.M. & Visscher, P.M. Empirical nonparametric bootstrap strategies in quantitative trait loci mapping: conditioning on the genetic model.
Multiple mapping was allowed unless specifically stated.
Hence, our procedure allows multiple mapping.
Multiple position mapping was enabled and the weight of multiple mapping reads was considered.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com