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Computational Matter

  • Book
  • © 2018

Overview

  • As the silicon chip approaches its eighth decade, researchers are actively seeking alternative substrates on which to implement computations
  • Each chapter synthesizes current understanding, bringing together researchers from related research projects
  • Useful for graduate students, researchers in the field, and the general scientific reader

Part of the book series: Natural Computing Series (NCS)

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Table of contents (16 chapters)

  1. Mapping the UCOMP Territory

  2. Delving into UCOMP Concepts

Keywords

About this book

This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, covering four main areas of interest: theory, practice, applications and implications. Each chapter synthesizes current understanding by deliberately bringing together researchers across a collection of related research projects. 

The book is useful for graduate students, researchers in the field, and the general scientific reader who is interested in inherently interdisciplinary research at the intersections of computer science, biology, chemistry, physics, engineering and mathematics.

Editors and Affiliations

  • Department of Computer Science, University of York, York, United Kingdom

    Susan Stepney

  • Department of Physics, Chemistry and Pharmacy, FLinT Center, University of Southern Denmark, Odense, Denmark

    Steen Rasmussen

  • School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Manchester, United Kingdom

    Martyn Amos

Bibliographic Information

  • Book Title: Computational Matter

  • Editors: Susan Stepney, Steen Rasmussen, Martyn Amos

  • Series Title: Natural Computing Series

  • DOI: https://doi.org/10.1007/978-3-319-65826-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Hardcover ISBN: 978-3-319-65824-7Published: 06 August 2018

  • Softcover ISBN: 978-3-030-09750-9Published: 08 February 2019

  • eBook ISBN: 978-3-319-65826-1Published: 20 July 2018

  • Series ISSN: 1619-7127

  • Series E-ISSN: 2627-6461

  • Edition Number: 1

  • Number of Pages: IX, 337

  • Topics: Theory of Computation, Artificial Intelligence

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