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A task-based parallelism model allows efficient use of the largest supercomputers for problems with a heterogeneous workload over disparate spatial and temporal scales.
Experiments on a multi-node system show that the proposed parallel model allows efficient calculation of the LS factor at a regional scale with a massive dataset.
The equation-based model appears to be better suited for describing complex physical and chemical phenomena; the agent-based model allows efficient ways to describe actions and behaviours of human and decision-making elements where cooperation and negotiation between intelligent entities come to the fore.
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An alternative approach, based on cell automata models, allows efficient simulation of nervous tissue by modelling neurons as finite state automata.
To scale up to such large graphical models, we formulate the algorithm using a distributed memory abstraction model that allows efficient in-memory parallel computations on large clusters.
As our predictive model also allows efficient detection of carbonylated proteins in Bacillus subtilis, we believe that our model may be extended to direct MCO attacks in all organisms.
The layered model also allows efficient control over aspects such as skill development, resource utilisation, operational efficiency and the application of standards across data linkage units.
This novel aging model, which allows efficient large-scale isolation of old cells, may facilitate biochemical characterizations and genomics/proteomics studies of cellular aging, and help to verify the aging pathways observed in other organisms including S. cerevisiae.
The assumption of conditional independence enables a reduction in model complexity allows efficient estimation of regulatory parameters using existing datasets, and further, and we show that the independence assumption is valid for the vast majority of regulatory programs.
To achieve the chemical accuracy, a systematic property-data-model analysis, which allows efficient use of knowledge of the experimental data of ΔfH°gas and the molecular structural information is employed.
Replacing the component finite element model with a reduced-order model allows for efficient computation of dynamic response while providing the necessary information to drive local, solid analyses which can zoom in on regions containing stress risers or cracks.
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CEO of Professional Science Editing for Scientists @ prosciediting.com