ScOrGBC: A novel classifier of granular balls with stable centers and optimal radii

Key Points

• Granular balls are classified based on their optimal radii and stable centers, enhancing material characterization.
• The classifier demonstrates a significant improvement in accuracy, achieving an 85% classification rate.
• Analysis involves developing a unique algorithm for identifying and classifying granular balls efficiently.
• This advancement may enable better applications in various fields, including material science and engineering.