Structural Analysis Of Metallic Glasses With Computational Homology (springerbriefs In The Mathematics Of Materials)
by Mingwei Chen /
2016 / English / PDF
3.1 MB Download
This book introduces the application of computational homology for
structural analysis of metallic glasses. Metallic glasses,
relatively new materials in the field of metals, are the
next-generation structural and functional materials owing to their
excellent properties. To understand their properties and to develop
novel metallic glass materials, it is necessary to uncover their
atomic structures which have no periodicity, unlike crystals.
Although many experimental and simulation studies have been
performed to reveal the structures, it is extremely difficult to
perceive a relationship between structures and properties without
an appropriate point of view, or language. The purpose here is to
show how a new approach using computational homology gives a useful
insight into the interpretation of atomic structures. It is noted
that computational homology has rapidly developed and is now widely
applied for various data analyses. The book begins with a brief
basic survey of metallic glasses and computational homology, then
goes on to the detailed procedures and interpretation of
computational homology analysis for metallic glasses.
Understandable and readable information for both materials
scientists and mathematicians is also provided.
This book introduces the application of computational homology for
structural analysis of metallic glasses. Metallic glasses,
relatively new materials in the field of metals, are the
next-generation structural and functional materials owing to their
excellent properties. To understand their properties and to develop
novel metallic glass materials, it is necessary to uncover their
atomic structures which have no periodicity, unlike crystals.
Although many experimental and simulation studies have been
performed to reveal the structures, it is extremely difficult to
perceive a relationship between structures and properties without
an appropriate point of view, or language. The purpose here is to
show how a new approach using computational homology gives a useful
insight into the interpretation of atomic structures. It is noted
that computational homology has rapidly developed and is now widely
applied for various data analyses. The book begins with a brief
basic survey of metallic glasses and computational homology, then
goes on to the detailed procedures and interpretation of
computational homology analysis for metallic glasses.
Understandable and readable information for both materials
scientists and mathematicians is also provided.