Supplementary Information: Statistical Reproducibility of Selective Area Grown InAs Nanowire Devices

New approaches such as selective area growth (SAG), 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 betwee...

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Detalles Bibliográficos
Autores: Olšteins, Dāgs, Nagda, Gunjan, Carrad, Damon J., Beznasyuk, Daria V., Petersen, Christian Emanuel N., Martí-Sànchez, Sara, Arbiol, Jordi, Jespersen, Thomas Sand
Tipo de recurso: conjunto de datos
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/384536
Acceso en línea:http://hdl.handle.net/10261/384536
Access Level:acceso abierto
Palabra clave:Transmission electron microscopy
Surface impurity scattering
Cryogenic electrical properties
Sselective area growth
Grown semiconductor nanomaterials
Quantifying statistical metrics
Fixed structural properties
Sag nanomaterials
Crystal growth
Statistical distributions
Structural parameters
Statistical reproducibility
Scale classical
Sag
Results confirm
Quantum nanoelectronics
Lithographically controlled
Individual components
Correlating measurements
Descripción
Sumario:New approaches such as selective area growth (SAG), 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.