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Effects of nanoparticles on the nucleation and devitrification temperatures of polyol cryoprotectant solutions 总被引:2,自引:0,他引:2
To investigate the efficiency of nanoparticles as nucleation agents in polyol cryoprotectant solutions at cryogenic temperatures,
the nucleation and devitrification temperatures of these solutions with different concentrations of diamond, gold, copper–nickel,
and silicon nanoparticles were measured through differential scanning calorimetry. The results show that ice growth in these
cryoprotectant solutions is prominently accelerated by nanoparticles and the devitrification temperatures of cryoprotectant
solutions are significantly lowered by nanoparticles. These findings can be used to improve the efficiency of cell cryopreservation
procedures and open numerous avenues of investigations regarding the application of nanoparticles in cryogenics. 相似文献
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运用正交试验和统计相结合的方法,研究了温度、压力、剪切速率、发泡剂含量对聚苯乙烯/超临界CO2发泡体系挤出胀大和泡孔的影响;综合胀大比和毛细管数的关系,提出了聚苯乙烯/超临界CO2发泡体系挤出胀大和泡孔平均直径预测模型。与实验结果相比,发泡体系挤出胀大的预测值与实验测量结果的误差在5%左右,泡孔平均直径的预测值与实验测量值的误差在10%左右。 相似文献
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Microwave tomography (MT) is a safe screening modality that can be used for breast cancer detection. The technique uses the dielectric property contrasts between different breast tissues at microwave frequencies to determine the existence of abnormalities. Our proposed MT approach is an iterative process that involves two algorithms: Finite-Difference Time-Domain (FDTD) and Genetic Algorithm (GA). It is a compute intensive problem: (i) the number of iterations can be quite large to detect small tumors; (ii) many fine-grained computations and discretizations of the object under screening are required for accuracy. In our earlier work, we developed a parallel algorithm for microwave tomography on CPU-based homogeneous, multi-core, distributed memory machines. The performance improvement was limited due to communication and synchronization latencies inherent in the algorithm. In this paper, we exploit the parallelism of microwave tomography on the Cell BE processor. Since FDTD is a numerical technique with regular memory accesses, intensive floating point operations and SIMD type operations, the algorithm can be efficiently mapped on the Cell processor achieving significant performance. The initial implementation of FDTD on Cell BE with 8 SPEs is 2.9 times faster than an eight node shared memory machine and 1.45 times faster than an eight node distributed memory machine. In this work, we modify the FDTD algorithm by overlapping computations with communications during asynchronous DMA transfers. The modified algorithm also orchestrates the computations to fully use data between DMA transfers to increase the computation-to-communication ratio. We see 54% improvement on 8 SPEs (27.9% on 1 SPE) for the modified FDTD in comparison to our original FDTD algorithm on Cell BE. We further reduce the synchronization latency between GA and FDTD by using mechanisms such as double buffering. We also propose a performance prediction model based on DMA transfers, number of instructions and operations, the processor frequency and DMA bandwidth. We show that the execution time from our prediction model is comparable (within 0.5 s difference) with the execution time of the experimental results on one SPE. 相似文献