Machine Learning Plasmas and the Neuromorphic Plasma Chemistry. Dieser Artikel ist nicht verfügbar.Machine Learning Plasmas and the Neuromorphic Plasma Chemistry

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.

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.