Published September 1, 2022
| Version 1.0.0
Dataset
Open
Software repository for data-driven reconstruction of doping profiles in semiconductors
- 1. SISSA, Trieste, Italy
- 2. Weierstrass Institute, Berlin, Germany
- 3. University of Florence, Florence, Italy
Description
Datasets and code used described in paper: "Data-driven solutions of ill-posed inverse problems arising from doping reconstruction in semiconductors" [arXiv:2208.00742]
Files
Files
(6.3 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:c3fe22b993532086416e10fd173f73db
|
576.3 MB | Download |
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md5:3b9211b76e49a901dc311f17a7c4ee57
|
252.1 MB | Download |
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md5:2ff5acf662364f51ef13f38c7d56ccb5
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762.4 kB | Download |
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md5:c7bab852f93822bc3eeea8f064634130
|
2.6 MB | Download |
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md5:379e36588c088d7c8f70c8493a31a3db
|
5.2 GB | Download |
|
md5:d6f22d4ac8eaddd05a7dfbf6dbdb5691
|
252.1 MB | Download |
Additional details
Related works
- Is cited by
- Preprint: 10.48550/arXiv.2208.00742 (DOI)