Quantifying Probabilistic Electron Transit times.

Navigation

Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Evan Curtin

Requires: Python >=3.7.0, <4.0.0

Maintainers

Avatar for ecurtin2 from gravatar.com ecurtin2

Classifiers

Project description

https://img.shields.io/pypi/v/transit_chem.svg Documentation Status

Quantifying electron transit in donor-bridge-acceptor systems using probabilistic confidence.

Features

Project details

Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Evan Curtin

Requires: Python >=3.7.0, <4.0.0

Maintainers

Avatar for ecurtin2 from gravatar.com ecurtin2

Classifiers


Release history Release notifications | RSS feed

This version

0.6.2

0.6.1

0.6.0

0.5.8

0.5.7

0.5.0

0.4.0

0.3.0

0.2.0

0.1.0

0.0.125

0.0.124

0.0.123

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

transit-chem-0.6.2.tar.gz (20.4 kB view hashes)

Uploaded source

Built Distribution

transit_chem-0.6.2-py3-none-any.whl (24.9 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page