Nanonetworks

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A01=Florian-Lennert A. Lau
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Author_Florian-Lennert A. Lau
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DNA-origami
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Internet of bio-nano things
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molecular communication
nanodevices
nanomedicine
Nanonetworks
nanorobots
nanoscale computational models
nanoscale sensor networks
nanotechnology
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self-assembly
softlaunch
terahertz communication

Product details

  • ISBN 9781394213108
  • Weight: 883g
  • Publication Date: 26 Jul 2024
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Learn the basics—and more—of nanoscale computation and communication in this emerging and interdisciplinary field

The field of nanoscale computation and communications systems is a thriving and interdisciplinary research area which has made enormous strides in recent years. A working knowledge of nanonetworks, their conceptual foundations, and their applications is an essential tool for the next generation of scientists and network engineers. Nanonetworks: The Future of Communication and Computation offers a thorough, accessible overview of this subject rooted in extensive research and teaching experience. Offering a concise and intelligible introduction to the key paradigms of nanoscale computation and communications, it promises to become a cornerstone of education in these fast-growing areas.

Readers will also find:

  • Detailed treatment of topics including network paradigms, machine learning, safety and security
  • Coverage of the history, applications, and important theories of nanonetworks research
  • Examples and use-cases for all formulas and equations

Nanonetworks is ideal for advanced undergraduate and graduate students in engineering and science, as well as practicing professionals looking for an introductory book to help them understand the foundations of nanonetwork systems.

Florian-Lennert A. Lau, PhD, MSc, obtained his MSc in 2016 and his PhD in 2020 from the Universität zu Lübeck, winning the KuVS award for the best Ph.D. thesis. He has been Head of the Nano Group since November 2021. His research interests cover self-assembly systems, nanonetworks, algorithmics, computational complexity theory, modelling human learning, human consciousness & logical inference systems, and distributed AI-systems.

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