Intelligent Nanotechnology
Merging Nanoscience and Artificial Intelligence

Presents an important introduction to the convergence of nanotechnology and artificial intelligence, including applications in emerging technologies

Yuebing Zheng (Edited by), Zilong Wu (Edited by)

9780323857963, Elsevier Science

Paperback / softback, published 26 October 2022

440 pages, 200 illustrations (80 in full color)
23.5 x 19 x 2.8 cm, 0.88 kg

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.

Part 1: AI-enhanced design, characterization, and manufacturing of nanomaterials, nanodevices and nanotools
1. Inverse design of nanophotonic structures
2. Artificial Intelligence (AI)-enhanced design/additive of nanomaterials
3. Neural networks for prediction in nanophononics
4. Neural networks for prediction in nanophotonic properties
5. Neural networks for prediction in device performance
6. Artificial Intelligence (AI) enhanced nanomotors and active matters
7. Application of convolution neural network in spectral analysis
8. Artificial Intelligence in nanotoxicology

Part 2: Nanotechnology-enhanced Artificial Intelligence hardware and algorithm development
9. Merging of machine learning and nanomaterials
10. Nanoscale Electronic Synapses for Neuromorphic Computing
11. Nanowire memristor as artificial synapse in random networks
12. Nanomemories for neuromorphic computing
13. Photonic artificial neural networks
14. Artificial intelligent accelerator using optoelectronic computing

Part 3: Scientific advancement and applications enhanced by combining Artificial Intelligence (AI) and Nanotechnology
15. Merging Artificial Intelligence (AI) and nanotechnology for single molecule science
16. Artificial Intelligence (AI) and nanotechnology in biomedicine
17. Automated lab/research
18. Nanomaterials and artificial intelligence in anti-counterfeiting
19. AI in chemistry studies

Part 4: Conclusion and perspective
20. Prospects and challenges in the merging of nanotechnology and Artificial Intelligence (AI)

Subject Areas: Artificial intelligence [UYQ], Applied optics [TTB], Electronics & communications engineering [TJ], Materials science [TGM]