Machine Learning Plasmas and the Neuromorphic Plasma Chemistry - Couverture rigide

Couverture rigide

ISBN 10 : 9815129848 ISBN 13 : 9789815129847

Editeur : Jenny Stanford Publishing, 2025

Synopsis

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.

A propos du livre

À propos de l'auteur

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.

Détails de l'édition

• Éditeur: Jenny Stanford Publishing
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 9815129848
• ISBN 13: 9789815129847
• Reliure: Relié
• Nombre de pages: 172
• Éditeur: Keidar Michael, Lin Li
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible