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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.
Nanoscience has been an active research field over the past several decades, triggered by the rising interest in exploring new science and technologies with materials at the nanoscale. Artificial Intelligence (AI) has led to revolutionary development in many applications such as communication, computer vision, and speech/image recognition. Bridging the link between nanoscience and AI can provide a new generation of technologies that will have large impacts on our society. Some of the AI tools are being implemented by researchers to advance nanoscience and nanotechnology through AI-enhanced design, manufacturing, measurements, and applications of nanomaterials and nanodevices. Meanwhile, nanotechnology provides enormous data sets and new hardware platforms to advance the training of Al models and the implementation of AI algorithms.
With great contributions from some of the top researchers working in the interdisciplinary field, Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence provides an overview of the advances in science and technology made possible by the convergence of nanoscience and AI. Section 1 focuses on AI-enhanced design, characterization and manufacturing of nanomaterials, and the use of AI to improve important material properties, with an emphasis on mechanical, photonic, phononic, electronic, and magnetic properties. The use of AI in the acquisition and analysis of data in experiments is explored as well. Section 2 includes chapters on AI technologies that have been enhanced through nanotechnology platforms. For example, memristors, neuromorphic computing, and artificial neural networks (ANN) are included. Finally, Section 3 reviews the advances in applications enabled by the merging of nanotechnology and Artificial Intelligence, including examples from biomedicine, chemistry, anticounterfeiting, and automated research. We hope that this book will provide a bridge to further collaborations among researchers from different fields