A New Direction in Mathematics for Materials Science

A New Direction in Mathematics for Materials Science
Author :
Publisher : Springer
Total Pages : 93
Release :
ISBN-10 : 9784431558644
ISBN-13 : 4431558640
Rating : 4/5 (640 Downloads)

Book Synopsis A New Direction in Mathematics for Materials Science by : Susumu Ikeda

Download or read book A New Direction in Mathematics for Materials Science written by Susumu Ikeda and published by Springer. This book was released on 2015-12-08 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first volume of the SpringerBriefs in the Mathematics of Materials and provides a comprehensive guide to the interaction of mathematics with materials science. The anterior part of the book describes a selected history of materials science as well as the interaction between mathematics and materials in history. The emergence of materials science was itself a result of an interdisciplinary movement in the 1950s and 1960s. Materials science was formed by the integration of metallurgy, polymer science, ceramics, solid state physics, and related disciplines. We believe that such historical background helps readers to understand the importance of interdisciplinary interaction such as mathematics–materials science collaboration. The middle part of the book describes mathematical ideas and methods that can be applied to materials problems and introduces some examples of specific studies—for example, computational homology applied to structural analysis of glassy materials, stochastic models for the formation process of materials, new geometric measures for finite carbon nanotube molecules, mathematical technique predicting a molecular magnet, and network analysis of nanoporous materials. The details of these works will be shown in the subsequent volumes of this SpringerBriefs in the Mathematics of Materials series by the individual authors. The posterior section of the book presents how breakthroughs based on mathematics–materials science collaborations can emerge. The authors' argument is supported by the experiences at the Advanced Institute for Materials Research (AIMR), where many researchers from various fields gathered and tackled interdisciplinary research.


A New Direction in Mathematics for Materials Science Related Books

A New Direction in Mathematics for Materials Science
Language: en
Pages: 93
Authors: Susumu Ikeda
Categories: Mathematics
Type: BOOK - Published: 2015-12-08 - Publisher: Springer

DOWNLOAD EBOOK

This book is the first volume of the SpringerBriefs in the Mathematics of Materials and provides a comprehensive guide to the interaction of mathematics with ma
Coming Home To Math: Become Comfortable With The Numbers That Rule Your Life
Language: en
Pages: 445
Authors: Irving P Herman
Categories: Mathematics
Type: BOOK - Published: 2020-02-13 - Publisher: World Scientific

DOWNLOAD EBOOK

We live in a world of numbers and mathematics, and so we need to work with numbers and some math in almost everything we do, to control our happiness and the di
New Directions in the Philosophy of Mathematics
Language: en
Pages: 458
Authors: Thomas Tymoczko
Categories: Mathematics
Type: BOOK - Published: 1998-02 - Publisher: Princeton University Press

DOWNLOAD EBOOK

The traditional debate among philosophers of mathematics is whether there is an external mathematical reality, something out there to be discovered, or whether
New Directions in Two-Year College Mathematics
Language: en
Pages: 498
Authors: Donald J. Albers
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

by Donald J. Albers ix INTRODUCTION In July of 1984 the first national conference on mathematics education in two-year colleges was held at Menlo College. The c
Bayesian Optimization for Materials Science
Language: en
Pages: 51
Authors: Daniel Packwood
Categories: Technology & Engineering
Type: BOOK - Published: 2017-10-04 - Publisher: Springer

DOWNLOAD EBOOK

This book provides a short and concise introduction to Bayesian optimization specifically for experimental and computational materials scientists. After explain