Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence

Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence book cover

Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence

Author(s): Zheng (Editor), Wu

  • Publisher: Elsevier
  • Publication Date: 26 Oct. 2022
  • Edition: 1st
  • Language: English
  • Print length: 442 pages
  • ISBN-10: 0323857965
  • ISBN-13: 9780323857963

Book Description

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

Editorial Reviews

Review

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

From the Back Cover

Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence provides an overview of the advances in science and technology made possible by the convergence of nanotechnology and artificial intelligence (AI).

Part one focuses on AI-enhanced design, characterization, and manufacturing of nanomaterials. It covers 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 discussed. Finally, the use of AI in the acquisition and analysis of data in experiments is explored. Part two includes chapters on AI technologies that have been enhanced through nanotechnology platforms. For example, memristors, neuromorphic computing and artificial neural networks are included. Finally, Part three reviews the advances in applications enabled by the merging of nanotechnology and artificial intelligence including examples from biomedicine, chemistry, and automated research.

Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence is suitable for researchers and practitioners working in either the research areas of nanotechnology or artificial intelligence, providing a bridge to enable potential future collaborations.

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