3 papers
cond-mat.mtrl-sci2026
Unsupervised segmentation and clustering workflow for efficient processing of 4D-STEM and 5D-STEM data
Serin Lee, Stephanie M. Ribet, Arthur R. C. McCray +3
Four-dimensional scanning transmission electron microscopy (4D-STEM) enables mapping of diffraction information with nanometer-scale spatial resolution, offering detailed insight i…
math.NT2026
Exploring Prime Number Classification: Achieving High Recall Rate and Rapid Convergence with Sparse Encoding
Serin Lee, S. Kim
This paper presents a novel approach at the intersection of machine learning and number theory, focusing on the classification of prime and non-prime numbers. At the core of our re…
eess.IV2025
Missing Wedge Inpainting and Joint Alignment in Electron Tomography through Implicit Neural Representations
Cedric Lim, Corneel Casert, Arthur R. C. McCray +4
Electron tomography is a powerful tool for understanding the morphology of materials in three dimensions, but conventional reconstruction algorithms typically suffer from missing-w…