5 papers
Autocorrelation-based beam shape optimization in scanning electron microscopy
Rebecca Guan, Andreas Werbrouck, Matthew M. Maschmann +1
Many automatically focusing algorithms for scanning electron microscopes exist. Typically, these optimize a single derived metric (such as image sharpness) without considering the…
Using superpixels for interpretable feature reduction in large 2D diffraction datasets
Andreas Werbrouck, Nikhila C. Paranamana, Andrew C. Meng +2
Large 2D diffraction datasets, consisting of hundreds or thousands of measurements, are commonly acquired with 4D-STEM electron diffraction or at synchrotron X-ray beamlines. Machi…
LLM Agents for Knowledge Discovery in Atomic Layer Processing
Andreas Werbrouck, Marshall B. Lindsay, Matthew Maschmann +1
Large Language Models (LLMs) have garnered significant attention for several years now. Recently, their use as independently reasoning agents has been proposed. In this work, we te…
Active Learning and Explainable AI for Multi-Objective Optimization of Spin Coated Polymers
Brendan Young, Brendan Alvey, Andreas Werbrouck +4
Spin coating polymer thin films to achieve specific mechanical properties is inherently a multi-objective optimization problem. We present a framework that integrates an active Par…
Fast 4D-STEM-based phase mapping for amorphous and mixed materials
Andreas Werbrouck, Nikhila C. Paranamana, Xiaoqing He +1
Interpretation and mapping strategies for 4D-scanning transmission electron microscopy (4D-STEM) are well-developed for crystalline materials, yet in the case of amorphous and mixe…