GitHub / teolombardo / Electrode-Microstructure-and-Interphases-Characterization-by-Combining-ToF-SIMS-and-Machine-Learning
This code allows combining the spatial distribution coming from multiple secondary ions maps obtained through time-of-flight secondary ion mass spectrometry (ToF-SIMS) into a single image and segmenting it (i.e., every pixel is assigned to one SI/phase only).
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teolombardo%2FElectrode-Microstructure-and-Interphases-Characterization-by-Combining-ToF-SIMS-and-Machine-Learning
PURL: pkg:github/teolombardo/Electrode-Microstructure-and-Interphases-Characterization-by-Combining-ToF-SIMS-and-Machine-Learning
Stars: 0
Forks: 0
Open issues: 0
License: other
Language: Jupyter Notebook
Size: 16 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: over 1 year ago
Commit Stats
Commits: 9
Authors: 1
Mean commits per author: 9.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/teolombardo/Electrode-Microstructure-and-Interphases-Characterization-by-Combining-ToF-SIMS-and-Machine-Learning
Topics: battery, electrodes, interphase, microstructure, tof-sims