Quantum simulations of an electron in a two dimensional potential well

Downloads

File	Format	Size	Last Updated
Readme	TXT	990 bytes	2018-11-07
Dataset part 1: Simple Harmonic Oscillator	ZIP	121 GB	2018-05-14
Dataset part 2: Infinite Well	ZIP	65 GB	2018-05-15
Dataset part 3: Double Inverted (Negative) Gaussians	ZIP	251 GB	2018-05-15
Dataset part 4: Random Potentials	ZIP	168 GB	2018-05-15
Dataset part 5: Random Potentials (with Kinetic energy <T> term added)	ZIP	92 GB	2018-05-15
Sample	ZIP	8 GB	2018-05-15

The complete dataset containing 411 HDF5 files has been subdivided and compressed into five ZIP files.
The sample set contains five HDF5 files (one from each part of the dataset) that have been compressed into one ZIP file.

DOI

Resolve DOI: https://doi.org/10.4224/PhysRevA.96.042113.data

Author

Search for: Mills, Kyle¹ORCID identifier: https://orcid.org/0000-0003-1768-6873; Search for: Spanner, Michael²; Search for: Tamblyn, Isaac²ORCID identifier: https://orcid.org/0000-0002-8146-6667

Name affiliation

University of Ontario Institute of Technology
National Research Council of Canada. Security and Disruptive Technologies

Format

Text, Dataset

Physical description

Complete dataset: 5 zip files containing a total of 411 HDF5 files (700.36 GB); Sample data: 1 zip files containing 5 HDF5 files (8.51 GB)

Subject

quantum simulation; deep learning; numerical modeling

Abstract

The data was generated in a numerical simulation of an electron in a 2 dimensional confining potential. It was used as a test case for training a deep neural network to reproduce the results of a partial differential equation (the time independent Schrödinger equation).

Publication date

2018-05-18

Date created

2017

Publisher

National Research Council of Canada

Licence

Open Government Licence - Canada (National Research Council of Canada)
https://open.canada.ca/en/open-government-licence-canada
Creative Commons, Attribution 2.0 Generic (CC BY 2.0) (University of Ontario Institute of Technology)
http://creativecommons.org/licenses/by/2.0/

Related publication

Language

English

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Collection

NRC Research Data

Record identifier

1343ae23-cebf-45c6-94c3-ddebdb2f23c6

Record created

2018-05-07

Record modified