2 citations · 2 across the 2 of their papers we have counts for
3 papers
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy
Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70
Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…
AuNR-SMA: Automated Gold Nanorod Spectral Morphology Analysis Pipeline
Samuel P. Gleason, Jakob C. Dahl, Mahmoud Elzouka +8
The development of a colloidal synthesis procedure to produce nanomaterials of a specific size with high shape and size purity is often a time consuming, iterative process. This is…
Dataset of gold nanoparticle sizes and morphologies extracted from literature-mined microscopy images
Akshay Subramanian, Kevin Cruse, Amalie Trewartha +3
The factors controlling the size and morphology of nanoparticles have so far been poorly understood. Data-driven techniques are an exciting avenue to explore this field through the…