
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.
About the Author
Yuebing Zheng is an Associate Professor of Mechanical Engineering and Materials Science & Engineering at the University of Texas at Austin, USA. He is also affiliated with the Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Texas Materials Institute, Center for Electrochemistry, and Center for Planetary Systems Habitability at the University of Texas at Austin. He received his B.Sc. in Physics from Nankai University, China, in 2001; M.Sc. in Physics from National University of Singapore, Singapore, in 2004; and Ph.D. in Engineering Science and Mechanics from the Pennsylvania State University, USA, in 2010. He was a postdoctoral researcher at the University of California, Los Angeles from 2010 to 2013, and joined the University of Texas at Austin as an Assistant Professor in the Fall of 2013. Zheng Research Group (http://zheng.engr.utexas.edu ) at the University of Texas at Austin explores intelligent nanophotonics, which merges artificial intelligence and photonics at the nanoscale, to advance nanomanufacturing, energy, global health, and life sciences. He received 2020 Texas Health Catalyst Award, 2019 University Co-op Research Excellence Award for Best Paper, 2018 Materials Today Rising Star Award, 2017 NIH Director’s New Innovator Award, 2017 NASA Early Career Faculty Award, 2017 ONR Young Investigator Award, 2015 3M Non-Tenured Faculty Award, and 2014 Beckman Young Investigator Award. He is a fellow of the Institute of Physics, a fellow of the Royal Society of Chemistry, and a senior member of the Optical Society of America.
Zilong Wu received his Ph.D. in Materials Science and Engineering (with Prof. Yuebing Zheng) from the University of Texas at Austin in 2018. He received his M.Sc. degree in 2014 from the Fudan University and his B.E. degree in 2011 from the Sun Yat-sen University. He is currently a Postdoctoral Fellow in the Texas Materials Institute at the University of Texas at Austin. His research focus is on innovating novel optical materials and techniques at the nanoscale.
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