Skip to main content

Neural Network Eigenvalue Estimator for quantum oscillator problem.

Project description

NNEVE

NNEVE is a collection of neural network based solutions to physics based problems. As for now only network for quantum oscillator approximation is fully implemented. Hopefully soon will arrive neural network for solving Navier-Stokes equation based on limited number of measurement points..

Installation

This project is uploaded to PyPI as nneve, therefore can be installed with following command

pip install nneve

At least Python 3.7 is required.

Quick example

To view quantum oscillator approximation for states 1 to 7 you can load precalculated weights and acquire model object with following snippet:

from matplotlib import pyplot as plt

from nneve.quantum_oscillator.examples import default_qo_network

# acquire network object with precalculated weights
# for quantum oscillator state 1 (base)
network = default_qo_network(state=1)
network.plot_solution()

plt.plot()

To manually run learning cycle check out "How to run QONetwork learning cycle" in Quantum Oscillator section of docs.

Documentation

Online documentation is available at argmaster.github.io/NNEVE/

To build docs locally run

tox -e docs

Project details


Download files

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

Source Distribution

nneve-22.8.20.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

nneve-22.8.20-py3-none-any.whl (97.6 kB view details)

Uploaded Python 3

File details

Details for the file nneve-22.8.20.tar.gz.

File metadata

  • Download URL: nneve-22.8.20.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for nneve-22.8.20.tar.gz
Algorithm Hash digest
SHA256 8286c7262315a3df027f7f1f5ffdfd51c59b207a3bc491544ea8c37e91cc50ff
MD5 7c3aa31fdb4e67b6d53861ea46bb9d13
BLAKE2b-256 e3a2cd60831dea93476dcd537d9411607dabbb88285b99ead26ff92e48a177b8

See more details on using hashes here.

File details

Details for the file nneve-22.8.20-py3-none-any.whl.

File metadata

  • Download URL: nneve-22.8.20-py3-none-any.whl
  • Upload date:
  • Size: 97.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for nneve-22.8.20-py3-none-any.whl
Algorithm Hash digest
SHA256 0345752a6e9f3e4ea2b8c8bfe8dd173c762e0c2455fe5fe2f241900d17076578
MD5 c8aa0954874bfe53c2499dc2385bf78c
BLAKE2b-256 9c84fda7fbef0963a6a16a7cc2cc4c15b686062a18b58462661c4e7b64ba52a6

See more details on using hashes here.

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