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20202023
most citedMachine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data

74 citations · 102 across the 4 of their papers we have counts for

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cond-mat.mtrl-sci2023

A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM)

Luis Rangel DaCosta, Katherine Sytwu, Catherine Groschner +1

Machine learning techniques are attractive options for developing highly-accurate automated analysis tools for nanomaterials characterization, including high-resolution transmissio…