Intelligent Heliospheric physics

Intelligent Heliospheric Physics applies artificial intelligence (AI) and machine learning (ML) to study the heliosphere - the vast, bubble-like region of space dominated by the Sun's solar wind and magnetic field, extending far beyond the planets.Core Focus: Understanding the structure, dynamics, and evolution of the heliosphere, including:Solar Wind Origin & Acceleration: How and where the Sun's plasma outflow forms.Transient Phenomena: Predicting and analyzing Coronal Mass Ejections (CMEs) and solar flares.Plasma & Magnetic Field Interactions: Turbulence, shocks, and particle acceleration.Heliospheric Boundaries: Interaction with the local interstellar medium (heliopause, bow shock).Cosmic Ray Modulation: How the heliosphere filters galactic cosmic rays.The "Intelligent" Aspect: AI/ML tackles challenges like: Data Overload, Complex Modeling, Pattern Recognition, and System Identification.Goal: Develop more accurate models, improve space weather forecasting critical for technology and astronauts.

Autorentext

Dr. Bendict Lawrance is currently working as Professor, Department of AI-Big Data, Gangseo University, Seoul 07661, South Korea. He has obtained the Master of Science degree in 2006. He has completed his Doctoral (PhD) degree in Physics. He has worked as a Post doctoral scientist and Research Professor at Kyung Hee University in South Korea.