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This solution is useful in SMP structures design and optimization (e.g., actuators made of SMP beams) where a large number of simulations is required.
It was found that carbohydrates in SMP, proteins in SMP and humics in SMP were decreased in the dual-MBR compared to the control-MBR.
The PDJDS/CM-RCM reordering method provides excellent vector and parallel performance in SMP nodes.
Figure 3a shows the speedup observed with the 34 k ZINC library in SMP and VN modes (gm = reuse).
Gel filtration chromatography (GFC) analysis showed that the substances with macromolecular weight in SMP were reduced in the dual-MBR.
Similarly, average log file writing time was reduced by 92% with grid map reuse, and over 99% in SMP mode (Table 1).
In SMP mode, each compute node executes a single task with a maximum of four threads, with node resources including memory and network bandwidth shared by all processes.
Multithreaded execution in SMP mode further reduced docking time by 10%, for an overall improvement of 25% over VN OMP = 1, gm = reload) (Figure 2a).
It is indicated that the recovery stress of CNT/SMP nanocomposites with only 3.3% weight fraction of carbon nanotubes will reach almost twice of that in SMP bulk.
Three-dimensional excitation emission matrix (EEM) fluorescence spectra demonstrated that the aromatic protein-like substances in SMP were also lowered in the dual-MBR.
This study proposes a unique approach to mechanically drive recovery in SMP networks using external forces to facilitate shape change in a material with stored strain.
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