Machine Learning Plasmas and the Neuromorphic Plasma Chemistry

Li Lin is a research scientist at the School of Engineering and Applied Science,George Washington University, USA. He specializes in low-temperature plasmaphysics, and his research focuses on chemical pathways and adaptive plasmacontrol applied to biomedical and environmental sciences. His work alsobridges machine learning, neuromorphic concepts, numerical simulations, andplasma diagnostics. Dr Lin is an honorary member of the National Academyof Inventors (NAI) and serves on the editorial boards of various reputed journals, includingScientific Reports and Frontiers in Physics. He has also been awarded for his contributions to IOPjournals.Michael Keidar is an A. James Clark Professor of Engineering at the Schoolof Engineering and Applied Science, George Washington University,USA. His expertise spans advanced spacecraft propulsion, plasma-basednanotechnology, and plasma medicine. Dr Keidar has authored over 250 journalarticles and a textbook on plasma engineering. He was named the AIAA NationalCapital Section Engineer of 2016 and is a recipient of the 2017 Davidson Awardin plasma physics. He is a fellow of the APS, AIAA, and the National Academy of Inventors andserves as an editor in leading academic journals.

• 1. Modern Plasma Engineering and Applications. 2. Plasma Diagnostics and Controls Using Machine Learning. 3. Collisions in Plasmas. 4. The Intelligent Plasma. Appendices.