Sentence examples for classifications of matter from inspiring English sources

You will look at the nature and classifications of matter, such as atoms, elements, compounds and molecules; study concepts and theories, including the laws of chemistry, bonding and quantum chemistry; and learn about some of chemistry's famous names, such as Robert Boyle and John Dalton.

These materials not only broaden the topological classification of matter but also provide a condensed matter realization of various relativistic particles and phenomena previously discussed mainly in high energy physics.

The classification of matter according to its physical and chemical state and separation methods used for mixtures based on differences in physical properties of the pure substances are reviewed.

It provides graduate level content introducing the basic concepts of the field, including an introductory session on group theory and topological classification of matter.

This pre-processing includes the removal from the image of non-brain tissue such as the skull, the classification of white matter, gray matter, and other tissue, and the removal of image artefacts along with various data-smoothing techniques.

Clear classification criteria facilitate the usage of the taxonomy, and help in making correct classifications of the subject matter (Wheaton 1968) 1.

Due to the simplicity of their construction and use, and their relatively sharp cutoff characteristics, cascade impactors have been widely used for the size classification of particulate matter.

The topological properties of the quantum states define a new paradigm in the description and classification of condensed matter.

Therefore, the particulate size from cigarette smoke falls well under PM2.5 classification of particulate matter as predicted in this work.

Building models to classify data according to a predefined coding scheme is an essential task in data science, especially in research involving machine classification of subjective matter.

These effective parameters in ETHOS allow the classification of dark matter theories according to their structure formation properties rather than their intrinsic particle properties, paving the way for future simulations to span the space of viable dark matter physics relevant for structure formation.