Or (scientific, continuum) numberatoms (in moles) atomPercent composition (atomPercent) curvature MaterialType
Or (scientific, continuum) numberatoms (in moles) atomPercent composition (atomPercent) curvature MaterialType defect_density(defectTypeid) numberdefectTypes Descriptor (engineering) Mass MassPercent composition (MassPercent) curvature MaterialType defect_density(defectTypeid) numberdefectTypesSci. Technol. Adv. Mater. 7 (206)G. J. SCHMITz et al.five.. Descriptor relations for size invariant entities Technique size invariant entities are extremely critical to transfer information in between the unique hierarchical levels in the technique. Examples for technique size invariant entities involve fractions, densities, and composition. For any homogeneous, isotropic program these would take distinct values independent from the size with the method. NumberAtoms, in contrast, would increase with rising technique size. A fraction PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/4388454 relation is the worth of a descriptor at a provided hierarchical level being divided by the value of your similar descriptor at a larger degree of the hierarchy. An instance may be the volume fraction of a phase within the RVE, exactly where the Volume(PhaseID) is divided by the Volume(RVE). This new entity defined by the relation is very important in engineering applications and may very well be named Volume(PhaseID)_Fraction. A density relation is obtained by normalizing the fundamental descriptors by volume. An instance is really a NumberFeature_ Density relation, which is usually obtained by dividing the NumberFeatures by the Volume as a result yielding the amount of grains per volume. Defect_Density(DefectTypeID) as another relation provides the density of a certain defect form. 5.two. Mathematical operations on descriptors FD&C Yellow 5 web Straightforward mathematical operations can give a variety of further helpful relations. A size relation calculatesdenotes the equivalent size (linear extension) of a feature, an RVE, or an ensemble because the radius of sphere obtaining precisely the same volume. An example is Size(FeatureID)_size3(four) Volume(FeatureID)_ Root3, exactly where root3 denotes the cubic root in the worth on the descriptor. Inside a similar manner many further relations of the fundamental set of descriptors is usually defined by uncomplicated mathematical operations, which include _root2 offering the square root with the worth of the descriptor. Further relations consist of: _sum, _diff, _product, and _ratio providing the sum, distinction, solution and ratio with the values of descriptors, respectively. The difference Centroid(Feature) Centroid(Feature2) would yield the distance between these two functions. 5.3. Descriptor attributes Beside operations acting on the descriptors, quite a few additional attributes may be assigned to any of your descriptors getting depicted in this report. The fundamental scheme for this reads:Descriptor Descriptor (attribute, attribute2, attribute3, .. attributeN).no have to obey a precise sequence for the attributes. In contrast to specifying a descriptor or a sequence of descriptor extensions for every single more detail, e.g. CEID; ChemicalElementName(CEID) Fe; Composition(CEID) 0.80; CompositionUnit(CEID) wt. ; CompositionType(CEID) genuine, .. metadata schema [29] are conveniently extendable and amendable to a host of attributes and simultaneously offer both data integrity and data curability. A metadata scheme for any particular instance for attributes on the descriptor `composition’ (with values in the attributes indicated by the `’ sign) could study:Composition (unit wt. , TypeReal, Number ChemicalElements2, ChemicalElementNameFe, CEID, scaling, reduce bound0, upper bound00, error_percent5, parentRVE, information origin experimental, …) 0.Certainly one of the.