In this work, we utilize correlation analysis on a large set of two dimensional bulk heterojunction morphologies to identify traits that are correlated with fill factor and efficiency.
One set of two dimensional simulations were conducted with a uniform mixture composition and different levels of temperature stratification, both with and without compression heating.
By contrast, if a scientist wants to share some information on a protein that they are working on, they have to write a paper with a set of two dimensional black and white images of that protein.
The structure design was created through a standard set of two dimensional construction drawings (blueprints), a three dimensional computer aided design (CAD) model, and a physical model created by a three dimensional printer from the CAD model.
Baber et al. have used consensus scoring in ligand based virtual screening with a set of two and three dimensional structural and pharmacophore based descriptors and found that consensus scores generally worked better than single scores.
The retina network model consists of a set of two dimensional rectangular grids representing a small area of the retina ( <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0006970.e076.PNG" class= inline-graphic"/> ) [1], on which model neurons are arranged.
Figure 1 illustrates the agglomerative hierarchical clustering approach using Ward's criterion for a set of two dimensional vectors of artificial feature values (Figure 1A). Figure 1B shows the hierarchy resulting from clustering the data in the form of a so called dendrogram.
The purpose of 3D segmentation, which is presented in this paper, is the cochlea geometry reconstruction from sets of two dimensional (2D) images corresponding to successive cross-sectional slices of the cochlea.
In this paper we propose and evaluate a set of new strategies for the solution of three dimensional separable elliptic problems on CPU GPU platforms.
Recent advances in sensitivity and imaging speed using Fourier domain detection have enabled the acquisition of three dimensional (3D) data sets comprising several tens, or even hundreds of thousands of axial scans within a few seconds [ 11– 16].
Topics: Nature of three dimensional space, geometry of solids, nature of shadows hitting three dimensional objects.
