Effects of Agitators on Dusty Plasma Multi-Rings using AI-Generated Analysis
Advisor(s)
Dr. W. L. Theisen
Confirmation
1
Document Type
Poster
Location
ONU McIntosh Center; Activities Room
Start Date
24-4-2026 12:00 PM
End Date
24-4-2026 12:50 PM
Abstract
Using a grooved electrode plate along with a waveform generator, a plasma was created from argon gas. The grooves in the electrode generated a confining potential well several millimeters above the electrode, trapping the Melamine formaldehyde dust particles, allowing them to form a multi-ring dusty plasma structure. These particles traveled in circular paths, exhibiting different angular velocities depending on how many rings were present in the region they occupied. Some particles acted as agitators, rapidly bouncing in and out of the multi-ring plane. An artificial intelligence-generated (AI) Python program was used to track the positions of more than 500,000 data points and determine the angular velocity of each particle. Preliminary results showed that the angular velocity of the dust particles increased uniformly due to the presence of the agitators.
Recommended Citation
Seveigny, M D.; Rieman, B C.; and Theisen, W L. Dr., "Effects of Agitators on Dusty Plasma Multi-Rings using AI-Generated Analysis" (2026). ONU Student Research Colloquium. 60.
https://digitalcommons.onu.edu/student_research_colloquium/2026/Posters/60
Open Access
Available to all.
Effects of Agitators on Dusty Plasma Multi-Rings using AI-Generated Analysis
ONU McIntosh Center; Activities Room
Using a grooved electrode plate along with a waveform generator, a plasma was created from argon gas. The grooves in the electrode generated a confining potential well several millimeters above the electrode, trapping the Melamine formaldehyde dust particles, allowing them to form a multi-ring dusty plasma structure. These particles traveled in circular paths, exhibiting different angular velocities depending on how many rings were present in the region they occupied. Some particles acted as agitators, rapidly bouncing in and out of the multi-ring plane. An artificial intelligence-generated (AI) Python program was used to track the positions of more than 500,000 data points and determine the angular velocity of each particle. Preliminary results showed that the angular velocity of the dust particles increased uniformly due to the presence of the agitators.