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A flexible parallel deterministic solver of the Boltzmann Poisson system for 2D semiconductor device simulation on computer clusters is presented.
In this study, the application of the two-dimensional direct simulation Monte Carlo (DSMC) method using an MPI-CUDA parallelization paradigm on Graphics Processing Units (GPUs) clusters is presented.
By coupling the coarse-grain Brownian dynamics simulation to a Multi-body dynamics model, a systematic pathway for analyzing the effect of connectivity of particles on elasticity of polymer-colloids aggregated clusters is presented.
In this study a new routing scheme, motivated by the existing issues in ad-hoc network and inspired by the relationships between adjacent clusters, is presented.
Finally, the Lorenz curve of the in-degree distribution of the clusters is presented in Fig. 7 to visually validate the different levels of inequality among clusters.
A finite state Markov model for the server that minimizes the workload demand during energy minimization at the cost of reliability in hosting clusters is presented [47].
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Significant differences between the clusters are presented.
Clusters are presented as spheres and colors indicate the potential of mean field ∆G.
Verification and calibration results from the current deployed clusters are presented, and the detector design and performances are discussed.
Using a combination of molecular orbital and molecular dynamics simulations, electronic and thermoelectric properties of GeSbTe model clusters are presented.
These two clusters are presented separately in Fig. 10.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com