First, the algorithm for descriptor generation is described, along with implementation of ML methods for Quantitative Materials Structure-Property Relationship (QMSPR) modelling.
Here, data from the AFLOW repository for ab initio calculations is combined with Quantitative Materials Structure-Property Relationship models to predict important properties: metal/insulator classification, band gap energy, bulk/shear moduli, Debye temperature and heat capacities.
In this research work, three quantitative materials selection methods, i.e. Digital Logic (DL), Modified Digital Logic (MDL), and Z-transformation, are employed to select the best material from among a list of candidate materials.
We explore novel means for estimating the sizes of features that lie below the diffraction limits for laser scanning confocal microscopy (LSCM) for non-destructive, quantitative materials characterization.
McCandless generally relies on qualitative sources such as the letters of residents and publications of medical professionals in preference to the extant quantitative materials.
Multiple terms have been used to describe such models including Quantitative Structure Activity/Property Relationship (QSAR/QSPR) models [20, 21], Quantitative Materials Structure Property Relationships (QMSPR) models [5], and Quantitative Nanostructure Activity Relationship (QNAR) models [22].
This chapter discusses how the functions required of a packaging material have led to a set of quantitative material tests that help to predict the ability of the material to perform as required by a customer.
The purpose of this study is to analyze damage severity in total knee arthroplasties of a single design by qualitative visual assessment and quantitative material loss measurements to evaluate implant performance and patient impact via material loss.
This section presents the quantitative material selection method s for the evaluation of a suitable repair material in a given application.
& Kim, H.-J. Quantitative material decomposition using spectral computed tomography with an energy-resolved photon-counting detector.
