https://github.com/3mcloud/afm-cbir-examples
Code to accompany Reverse AFM Height Map Search: Content-Based Topography Retrieval via Self-Supervised Deep Learning
Science Score: 13.0%
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Low similarity (4.9%) to scientific vocabulary
Repository
Code to accompany Reverse AFM Height Map Search: Content-Based Topography Retrieval via Self-Supervised Deep Learning
Basic Info
- Host: GitHub
- Owner: 3mcloud
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 1.74 MB
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Metadata Files
README.md
Reverse AFM Height Map Search: Content-Based Topography Retrieval via Self-Supervised Deep Learning
By Marcus Schwarting, Matthew JL Mills, Mahsa Lotfollahi, Maryam Pardakhti, KJ Schmidt, Bahram Rajabifar, Bjorn Melin, Hyacinth Lechuga, Ben Blaiszik and Ian Foster
This repository contains example data and code demonstrating how to reproduce the data pre-processing and model building procedures defined in the above paper. All code need for loading, reading, and performing model inference on AFM topographies is provided in this repository. Any questions can be referred to Marcus Schwarting (meschw04@uchicago.edu).
For more information, please check out our paper in Springer "Integrating Materials and Manufacturing Innovation".
Owner
- Name: 3M
- Login: 3mcloud
- Kind: organization
- Location: Maplewood, MN
- Website: https://www.3m.com
- Repositories: 11
- Profile: https://github.com/3mcloud
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