| Download | - 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.
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| DOI | Resolve DOI: https://doi.org/10.4224/PhysRevA.96.042113.data |
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| 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 |
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| Affiliation | - University of Ontario Institute of Technology
- National Research Council of Canada. Security and Disruptive Technologies
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| Format | Text, Dataset |
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| 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) |
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| Subject | quantum simulation; deep learning; numerical modeling |
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| 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). |
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| Publication date | 2018-05-18 |
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| Date created | 2017 |
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| Publisher | National Research Council of Canada |
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| Licence | |
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| Related publication | |
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| Language | English |
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| Export citation | Export as RIS |
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| Collection | NRC Research Data |
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| Record identifier | 1343ae23-cebf-45c6-94c3-ddebdb2f23c6 |
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| Record created | 2018-05-07 |
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| Record modified | 2022-05-09 |
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