CONSTRUCTING EQUILIBRIUM OF PLASMA MAGNETIC CONFINEMENT THROUGH THE APPLICATION OF PHYSICS-INFORMED NEURAL NETWORKS
Plasma magnetic confinement is a crucial aspect of fusion research, aiming to achieve stable and controlled conditions for nuclear fusion reactions. In this study, we focus on investigating the dynamics of plasma instabilities and constructing equilibrium solutions within the framework of the mag...
Saved in:
Main Author: | Harry Yudha Pratama, Muchamad |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/77648 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
IMPLEMENTATION OF GRADIENTLESS NEURAL NETWORK FOR GEOTHERMAL PRODUCTION WELL EVALUATION AND EARLY WARNING SYSTEM
by: Harry Yudha Pratama, Muchamad -
PHYSICS INFORMED NEURAL NETWORK ON DIFFERENTIAL EQUATIONS
by: Almira Suheri, Fidya -
Physics-informed neural networks with non-differentiable loss
by: Yang, Junyan
Published: (2022) -
PHYSICS-INFORMED NEURAL NETWORK (PINN) AND ITS APPLICATION TO HEAT DISTRIBUTION
by: Alfarino B. P., Michael -
PHYSICS-INFORMED NEURAL NETWORK (PINN) AND ITS APPLICATION TO POLLUTANT TRANSPORT
by: Yuki Sutanto, Christopher