Machine Learning Plasmas and the Neuromorphic Plasma Chemistry
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This book presents a groundbreaking aspect of fundamental plasma chemistry that integrates modern machine learning and neuromorphic systems. This is the first book to introduce such a unique theory.

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Produktbeschreibung
This book presents a groundbreaking aspect of fundamental plasma chemistry that integrates modern machine learning and neuromorphic systems. This is the first book to introduce such a unique theory.
Autorenporträt
Li Lin is a research scientist at the School of Engineering and Applied Science, George Washington University, USA. He specializes in low-temperature plasma physics, and his research focuses on chemical pathways and adaptive plasma control applied to biomedical and environmental sciences. His work also bridges machine learning, neuromorphic concepts, numerical simulations, and plasma diagnostics. Dr Lin is an honorary member of the National Academy of Inventors (NAI) and serves on the editorial boards of various reputed journals, including Scientific Reports and Frontiers in Physics. He has also been awarded for his contributions to IOP journals. Michael Keidar is an A. James Clark Professor of Engineering at the School of Engineering and Applied Science, George Washington University, USA. His expertise spans advanced spacecraft propulsion, plasma-based nanotechnology, and plasma medicine. Dr Keidar has authored over 250 journal articles and a textbook on plasma engineering. He was named the AIAA National Capital Section Engineer of 2016 and is a recipient of the 2017 Davidson Award in plasma physics. He is a fellow of the APS, AIAA, and the National Academy of Inventors and serves as an editor in leading academic journals.