Data for the publication "Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices"
New approaches such as selective area growth, where crystal growth is lithographically controlled, allow the integration of bottom-up grown semiconductor nanomaterials in large-scale classical and quantum nanoelectronics. This calls for assessment and optimization of the reproducibility between indi...
| Autores: | , , , , , , , |
|---|---|
| Formato: | conjunto de datos |
| Fecha de publicación: | 2024 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/384554 |
| Acesso em linha: | http://hdl.handle.net/10261/384554 |
| Access Level: | acceso abierto |
| Palavra-chave: | Nanowires Selective area growth Multiplexer Statistics |
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Data for the publication "Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices"Olšteins, DāgsNagda, GunjanCarrad, Damon J.Beznasyuk, Daria V.Petersen, Christian Emanuel N.Martí-Sànchez, SaraArbiol, JordiJespersen, Thomas SandNanowiresSelective area growthMultiplexerStatisticsNew approaches such as selective area growth, where crystal growth is lithographically controlled, allow the integration of bottom-up grown semiconductor nanomaterials in large-scale classical and quantum nanoelectronics. This calls for assessment and optimization of the reproducibility between individual components. We quantify the structural and electronic statistical reproducibility within large arrays of nominally identical selective area growth InAs nanowires. The distribution of structural parameters is acquired through comprehensive atomic force microscopy studies and transmission electron microscopy. These are compared to the statistical distributions of the cryogenic electrical properties of $256$ individual SAG nanowire field effect transistors addressed using cryogenic multiplexer circuits. Correlating measurements between successive thermal cycles allows distinguishing between the contributions of surface impurity scattering and fixed structural properties to device reproducibility. The results confirm the potential of SAG nanomaterials, and the methodologies for quantifying statistical metrics are essential for further optimization of reproducibility. The .zip file contains the AFM and electrical transport data that was used to support the findings in the associated publication. The AFM data is available in .asc format and can be opened with FOSS software such as Gwyddion or read via python. The transport data is arranged into python dictionaries for easy navigation. A jupyter notebook is included describing the dictionary structure and providing example code for accessing the data. -- Methods, materials and software: AFM, InAs, Gwyddion, pythonPeer reviewedTechnical University of DenmarkOlšteins, Dāgs [0000-0002-2946-7531]Carrad, Damon J. [0000-0003-0372-8593]Arbiol, Jordi [0000-0002-0695-1726]Jespersen, Thomas Sand [0000-0002-7879-976X]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1application/ziphttp://hdl.handle.net/10261/384554reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésOlšteins, Dāgs; Nagda, Gunjan; Carrad, Damon J.; Beznasyuk, Daria V.; Petersen, Christian Emanuel N.; Martí-Sànchez, Sara; Arbiol, Jordi; Jespersen, Thomas Sand. Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices; American Chemical Society; https://doi.org/10.1021/acs.nanolett.4c01038. http://hdl.handle.net/10261/381260Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3845542026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Data for the publication "Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices" |
| title |
Data for the publication "Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices" |
| spellingShingle |
Data for the publication "Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices" Olšteins, Dāgs Nanowires Selective area growth Multiplexer Statistics |
| title_short |
Data for the publication "Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices" |
| title_full |
Data for the publication "Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices" |
| title_fullStr |
Data for the publication "Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices" |
| title_full_unstemmed |
Data for the publication "Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices" |
| title_sort |
Data for the publication "Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices" |
| dc.creator.none.fl_str_mv |
Olšteins, Dāgs Nagda, Gunjan Carrad, Damon J. Beznasyuk, Daria V. Petersen, Christian Emanuel N. Martí-Sànchez, Sara Arbiol, Jordi Jespersen, Thomas Sand |
| author |
Olšteins, Dāgs |
| author_facet |
Olšteins, Dāgs Nagda, Gunjan Carrad, Damon J. Beznasyuk, Daria V. Petersen, Christian Emanuel N. Martí-Sànchez, Sara Arbiol, Jordi Jespersen, Thomas Sand |
| author_role |
author |
| author2 |
Nagda, Gunjan Carrad, Damon J. Beznasyuk, Daria V. Petersen, Christian Emanuel N. Martí-Sànchez, Sara Arbiol, Jordi Jespersen, Thomas Sand |
| author2_role |
author author author author author author author |
| dc.contributor.none.fl_str_mv |
Olšteins, Dāgs [0000-0002-2946-7531] Carrad, Damon J. [0000-0003-0372-8593] Arbiol, Jordi [0000-0002-0695-1726] Jespersen, Thomas Sand [0000-0002-7879-976X] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Nanowires Selective area growth Multiplexer Statistics |
| topic |
Nanowires Selective area growth Multiplexer Statistics |
| description |
New approaches such as selective area growth, where crystal growth is lithographically controlled, allow the integration of bottom-up grown semiconductor nanomaterials in large-scale classical and quantum nanoelectronics. This calls for assessment and optimization of the reproducibility between individual components. We quantify the structural and electronic statistical reproducibility within large arrays of nominally identical selective area growth InAs nanowires. The distribution of structural parameters is acquired through comprehensive atomic force microscopy studies and transmission electron microscopy. These are compared to the statistical distributions of the cryogenic electrical properties of $256$ individual SAG nanowire field effect transistors addressed using cryogenic multiplexer circuits. Correlating measurements between successive thermal cycles allows distinguishing between the contributions of surface impurity scattering and fixed structural properties to device reproducibility. The results confirm the potential of SAG nanomaterials, and the methodologies for quantifying statistical metrics are essential for further optimization of reproducibility. The .zip file contains the AFM and electrical transport data that was used to support the findings in the associated publication. The AFM data is available in .asc format and can be opened with FOSS software such as Gwyddion or read via python. The transport data is arranged into python dictionaries for easy navigation. A jupyter notebook is included describing the dictionary structure and providing example code for accessing the data. -- Methods, materials and software: AFM, InAs, Gwyddion, python |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2025 2025 |
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info:eu-repo/semantics/dataset http://purl.org/coar/resource_type/c_ddb1 |
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dataset |
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http://hdl.handle.net/10261/384554 |
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http://hdl.handle.net/10261/384554 |
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Inglés |
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Inglés |
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Olšteins, Dāgs; Nagda, Gunjan; Carrad, Damon J.; Beznasyuk, Daria V.; Petersen, Christian Emanuel N.; Martí-Sànchez, Sara; Arbiol, Jordi; Jespersen, Thomas Sand. Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices; American Chemical Society; https://doi.org/10.1021/acs.nanolett.4c01038. http://hdl.handle.net/10261/381260 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/zip |
| dc.publisher.none.fl_str_mv |
Technical University of Denmark |
| publisher.none.fl_str_mv |
Technical University of Denmark |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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15.81155 |