Intelligent Nanotechnology
eBook - ePub

Intelligent Nanotechnology

Merging Nanoscience and Artificial Intelligence

  1. 440 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Intelligent Nanotechnology

Merging Nanoscience and Artificial Intelligence

About this book

Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence provides an overview of advances in science and technology made possible by the convergence of nanotechnology and artificial intelligence (AI). Sections focus on AI-enhanced design, characterization and manufacturing and the use of AI to improve important material properties, with an emphasis on mechanical, photonic, electronic and magnetic properties. Designing benign nanomaterials through the prediction of their impact on biology and the environment is also discussed. Other sections cover the use of AI in the acquisition and analysis of data in experiments and AI technologies that have been enhanced through nanotechnology platforms. Final sections review advances in applications enabled by the merging of nanotechnology and artificial intelligence, including examples from biomedicine, chemistry and automated research. - Includes recent advances on AI-enhanced design, characterization and the manufacturing of nanomaterials - Reviews AI technologies that have been enabled by nanotechnology - Discusses potentially world-changing applications that could ensue as a result of merging these two fields

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Yes, you can access Intelligent Nanotechnology by Yuebing Zheng,Zilong Wu in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Intelligent Nanotechnology
  2. Chapter 1 Inverse design meets nanophotonics: From computational optimization to artificial neural network
  3. Chapter 2 Machine learning for solid mechanics
  4. Chapter 3 Neural networks in phononics
  5. Chapter 4 Nanophotonic devices based on optimization algorithms
  6. Chapter 5 Artificial intelligence (AI) enhanced nanomotors and active matter
  7. Chapter 6 Applications of convolutional neural networks for spectral analysis
  8. Chapter 7 Nanoscale electronic synapses for neuromorphic computing
  9. Chapter 8 Nanowire memristor as artificial synapse in random networks
  10. Chapter 9 Artificial intelligence accelerator using photonic computing
  11. Chapter 10 Machine learning in nanomaterial electron microscopy data analysis
  12. Chapter 11 Deep learning in biomedical informatics
  13. Chapter 12 Autonomous experimentation in nanotechnology
  14. Chapter 13 Nanomaterials and artificial intelligence in anti-counterfeiting
  15. Chapter 14 Machine learning data processing as a bridge between microscopy and the brain
  16. Index