Details

<p>List of Figures xiii</p> <p>List of Tables xvii</p> <p>About the Author xix</p> <p>Preface xxi</p> <p>Acknowledgments xxiii</p> <p><b>1 Introduction 1</b></p> <p>1.1 Etymology 1</p> <p>1.2 Science Fiction 2</p> <p>1.3 Nanotechnology Intuition 3</p> <p>1.4 Example Applications 6</p> <p>1.5 Unique Problems and Challenges 7</p> <p>1.6 Summary 9</p> <p>1.7 Chapter Overview 10</p> <p><b>2 History13</b></p> <p>2.1 Philosophy 13</p> <p>2.2 Manufacturing Accuracy 16</p> <p>2.3 State of the Art 24</p> <p>2.4 Summary 29</p> <p><b>3 Current and Future Applications 31</b></p> <p>3.1 Nanotechnology in Materials and Industry 31</p> <p>3.2 Medicine 33</p> <p>3.3 Military 38</p> <p>3.4 Agriculture and Geology 38</p> <p>3.5 Future Developments 39</p> <p>3.6 Summary 40</p> <p><b>4 Construction 43</b></p> <p>4.1 Construction Paradigms 43</p> <p>4.2 Materials 44</p> <p>4.3 Nanoparticles 49</p> <p>4.4 Defining Complex Nanostructures 52</p> <p>4.5 Nature Adaptation 66</p> <p>4.6 Miniaturization 68</p> <p>4.7 Self-assembly 69</p> <p>4.8 DNA Errors 81</p> <p>4.9 Error Correction Mechanisms 83</p> <p>4.10 State of the Art of Miniature Structures and Devices 88</p> <p>4.11 Simulation 94</p> <p>4.12 Summary 97</p> <p><b>5 Computation 99</b></p> <p>5.1 State at the Nanoscale 99</p> <p>5.2 Computation 101</p> <p>5.3 Complexity Theory 102</p> <p>5.4 Computational Analysis of Nanoscale Applications 105</p> <p>5.5 Computational Models for the Nanoscale 111</p> <p>5.6 Self-assembly Systems 123</p> <p>5.7 Finding Programs for Nanodevices 137</p> <p>5.8 Summary 144</p> <p><b>6 Simple Communication 145</b></p> <p>6.1 A Brief History of Communication 145</p> <p>6.2 Definitions 148</p> <p>6.3 Electromagnetic Communication 151</p> <p>6.4 Molecular Communication 155</p> <p>6.5 Acoustic Communication 159</p> <p>6.6 Quantum Communication 161</p> <p>6.7 FRET 162</p> <p>6.8 Nanophotonics 163</p> <p>6.9 Comparison 163</p> <p>6.10 Multi-hop Communication 167</p> <p>6.11 Communication and Network Simulators 173</p> <p>6.12 Summary 175</p> <p><b>7 Movement and Localization 177</b></p> <p>7.1 Definition 177</p> <p>7.2 Passive Movement 178</p> <p>7.3 Active Movement 180</p> <p>7.4 Localization 184</p> <p>7.5 Simulation 191</p> <p>7.6 Organs-on-Chips 197</p> <p>7.7 Summary 198</p> <p><b>8 Sensors and Actuators 199</b></p> <p>8.1 Application Scenarios 199</p> <p>8.2 Measuring Systems 200</p> <p>8.3 Sensors 203</p> <p>8.4 Actuators 205</p> <p>8.5 Summary 210</p> <p><b>9 Energy 211</b></p> <p>9.1 Energy Sources 211</p> <p>9.2 Storing Energy 213</p> <p>9.3 Energy Harvesting and Generators 214</p> <p>9.4 Saving Energy 219</p> <p>9.5 Summary 227</p> <p><b>10 Time and Randomness 229</b></p> <p>10.1 Time 229</p> <p>10.2 Synchronization 231</p> <p>10.3 Logical Time 237</p> <p>10.4 Consistency 238</p> <p>10.5 Randomness 242</p> <p>10.6 Summary 246</p> <p><b>11 Safety and Security 247</b></p> <p>11.1 Nanonetwork Safety Analysis 248</p> <p>11.2 Attack Types 250</p> <p>11.3 Securing Nanonetworks 254</p> <p>11.4 Molecular and DNA-based Security 257</p> <p>11.5 Summary 259</p> <p><b>12 Nanonetwork Concepts and Architectures 261</b></p> <p>12.1 From Macro to Nano 261</p> <p>12.2 Nanonetwork Role Models 263</p> <p>12.3 Nanonetworks 268</p> <p>12.4 DNA-Based Nanonetworks 278</p> <p>12.5 Verification Methods for Nanonetworks 299</p> <p>12.6 Summary 306</p> <p><b>13 Ethical, Legal, and Social Issues 309</b></p> <p>13.1 The Process from Idea to Final Product 309</p> <p>13.2 Environment 310</p> <p>13.2.1 Biocompatibility 314</p> <p>13.3 Waste Disposal 314</p> <p>13.4 Politics and Legal Matters 316</p> <p>13.5 Acceptance 318</p> <p>13.6 Dangers and Fears 321</p> <p>13.7 Summary 323</p> <p><b>14 Conclusion 325</b></p> <p>14.1 Summary 325</p> <p>14.2 The Future and Visions of Nanonetworks 330</p> <p>14.2.1 Near Future 330</p> <p>14.2.2 Middle Future 331</p> <p>14.2.3 Distant Future 332</p> <p>14.3 Key Message 333</p> <p>Bibliography 335</p> <p>Index 357</p>

<p><b>Florian-Lennert A. Lau, PhD, MSc,</b> 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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