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For the mechanical part of the model, a modified Taylor method based on strain partitioning in the grains orientations was used; and for the thermal part of the model, an integrated phased field and Monte Carlo models with harmonic Fourier approach for orientations distribution function (ODF) was used.
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A simple quantitative technique based on the partition of elastic strain energy into bending and stretch components is used to identify the distribution of deformation modes at a microstructural level.
For the combined data sets, we identified model partitions based on partitioning matrices by locus.
Clustering based on iterative partitioning.
In the schema level, data partitioning is based on the partitioning key.
The address mapping is based on this partitioning scheme.
Centrifugal Partition Chromatography (CPC) is a separation process based on the partitioning of solutes between two partially miscible liquid phases.
This will be later used by our recursive computation which is based on such partitioning.
It is based on the partitioning of the data in training and test sets.
It is also based on partitioning paths where the sensor nodes are distributed into partitioning.
Temperature is expected to affect partitioning coefficients, and the KOCWIN prediction is based on partitioning at 25 °C.
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