Physics of surface waves: A kinetic approach Rinku Mishra, 1,2, a) S. Adhikari, 3 Rupak Mukherjee, 4 and B. J. Saikia 1 1) Centre of Plasma Physics, Institute for Plasma Research, Nazirakhat, Sonapur 782402, Assam, India. 2) Institute for Plasma Research, HBNI, Bhat, Gandhinagar 382428, India 3) Department of Physics, University of Oslo, PO Box 1048 Blindern, NO-0316 Oslo, Norway 4) Princeton Plasma Physics Laboratory, Princeton, New Jersey, 08540, USA The characteristics of the surface waves along the interface between a plasma and a dielectric material have been investigated using kinetic Particle-In-Cell (PIC) simu- lations. A microwave source of GHz frequency has been used to trigger the surface wave in the system. The outcome indicates that the surface wave gets excited along the interface of plasma and the dielectric tube and appears as light and dark patterns in the electric field profiles. The dependency of radiation pressure on the dielectric permittivity and supplied input frequency has been investigated. Further, we as- sessed the capabilities of neural networks to predict the radiation pressure for a given system. The proposed Deep Neural Network model is aimed at developing accurate and efficient data-driven plasma surface wave devices. I. INTRODUCTION Waves in the bounded plasma has gained a considerable interest in the last few decades. While studying the interaction of an electro- magnetic field with the plasma, along with bulk modes, it is important to consider the modes concentrated at the plasma surface also. Such modes are known as surface waves. a) Electronic mail: rinku.mishra@ipr.res.in It plays a very crucial role in understanding plasma turbulence in the divertor of labora- tory fusion devices 1,2 , torus of fluid 3 , plasma diagnostics, laser physics 4 , communication, atomic spectroscopy 5 , high-density plasma generations, and even in plasma process- ing. Apart from industrial and laboratory, the nature of surface wave energy transport has made the study much more prevalent in the field of astrophysical plasma 6–10 like in arXiv:2112.06884v2 [physics.plasm-ph] 21 Dec 2021