1st Edition

Machine Learning Plasmas and the Neuromorphic Plasma Chemistry

Edited By Michael Keidar, Li Lin Copyright 2026
182 Pages 24 Color & 11 B/W Illustrations
by Jenny Stanford Publishing

182 Pages 24 Color & 11 B/W Illustrations
by Jenny Stanford Publishing

Plasma chemistry, a foundational science driving advancements in the engineering of biomedicine, space propulsion, and semiconductor manufacturing, is currently increasingly relying on AI to diagnose and control chemical compositions and reaction rates in plasmas. This book presents a groundbreaking aspect of fundamental plasma chemistry that integrates modern ML and neuromorphic systems and is... Read more

1.  Modern Plasma Engineering and Applications

Li Lin, Anmol Taploo, Vikas Soni, Alex Horkowitz, and Carles Corbella Roca

2. Plasma Diagnostics and Controls Using Machine Learning

Li Lin, Anmol Taploo, Vikas Soni, and Michael Keidar

3. Collisions in Plasmas

Li Lin and Zichao Hou

4. The Intelligent Plasma

Li Lin and Michael Keidar

Appendices

Biography

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.

“Plasma is at the core of many modern technological applications. These range from
semiconductor fabrication to electric propulsion to biomedicine and agricultural applications.
Crucial to the success of all these applications is the ability to control the process. This book
introduces the reader to the use of machine learning (ML) and artificial intelligence (AI) in
various plasma-based technological areas. The book also delves into the concept of intelligent
plasma and intelligent matter, exploring how these emerging technologies could introduce a new
paradigm in AI, computing, and materials science. The book will fascinate readers because it
presents novel and interesting approaches to the study of plasma dynamic processes.”
-Prof. Emer. Mounir Laroussi, Old Dominion University, USA.