Vacancy induced fano resonances in graphene nanoribbon conductance source code based in kwant using python in jupyter notebook.
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Updated
Mar 22, 2022 - Jupyter Notebook
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Vacancy induced fano resonances in graphene nanoribbon conductance source code based in kwant using python in jupyter notebook.
This series of notebooks have been developed to analyse traffic data from the NSW Traffic Volume Viewer website
Jupyter notebook and GEE code to produce multitemporal multifactor cost surfaces for the generations of transcontinental movement corridor networks
On-time delivery, cost-per-route analytics and discrepancy classification for a B2B/B2C furniture transport operation - Python, pandas, Jupyter (synthetic data)
This series of notebooks have been developed to analyse traffic volume and travel pattern data from the NSW Toll Road Data website (https://nswtollroaddata.com). More updates coming soon.
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