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Название: Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence
Автор: Yuebing Zheng, Zilong Wu
Издательство: Elsevier
Год: 2023
Страниц: 424
Язык: английский
Формат: pdf (true)
Размер: 36.4 MB
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.
Автор: Yuebing Zheng, Zilong Wu
Издательство: Elsevier
Год: 2023
Страниц: 424
Язык: английский
Формат: pdf (true)
Размер: 36.4 MB
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.