Understanding and optimising EBIC pn-junction characterisation from modelling insights
In this paper, the physical mechanisms involved in electron beam induced current (EBIC) imaging of semiconductor pn-junctions are reviewed to propose a model and optimise the acquisition of experimental data. Insights are drawn on the dependence of the EBIC signal with electron accelerating voltage...
| Main Authors: | , , , , , , , , , |
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| Format: | Journal article |
| Published: |
AIP Publishing
2020
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| _version_ | 1797073506761965568 |
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| author | Zhou, R Yu, M Twedde, D Hamer, P Chen, D Hallam, B Ciesla, A Altermatt, P Wilshaw, P Bonilla, R |
| author_facet | Zhou, R Yu, M Twedde, D Hamer, P Chen, D Hallam, B Ciesla, A Altermatt, P Wilshaw, P Bonilla, R |
| author_sort | Zhou, R |
| collection | OXFORD |
| description | In this paper, the physical mechanisms involved in electron beam induced current (EBIC) imaging of semiconductor pn-junctions are reviewed to propose a model and optimise the acquisition of experimental data. Insights are drawn on the dependence of the EBIC signal with electron accelerating voltage and surface conditions. It is concluded that improvements in the resolution of EBIC are possible when the surface conditions of the specimens are carefully considered and optimised. Lower accelerating voltage and increasing the surface recombination velocities are quantitatively shown to maximise the EBIC lateral resolution in locating the pn-junction. The effect of surface band bending is included in the model, and it is seen to primarily affect the surface recombination. Introducing controlled surface damage is shown a potential method for resolution enhancement via FIB milling with Ga+ions. These findings contribute to the understanding of this technique and can produce further improvements to its application in semiconductor device technology. |
| first_indexed | 2024-03-06T23:23:10Z |
| format | Journal article |
| id | oxford-uuid:69798fa8-d254-496c-841a-ebe24a9739d8 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T23:23:10Z |
| publishDate | 2020 |
| publisher | AIP Publishing |
| record_format | dspace |
| spelling | oxford-uuid:69798fa8-d254-496c-841a-ebe24a9739d82022-03-26T18:51:17ZUnderstanding and optimising EBIC pn-junction characterisation from modelling insightsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:69798fa8-d254-496c-841a-ebe24a9739d8Symplectic Elements at OxfordAIP Publishing2020Zhou, RYu, MTwedde, DHamer, PChen, DHallam, BCiesla, AAltermatt, PWilshaw, PBonilla, RIn this paper, the physical mechanisms involved in electron beam induced current (EBIC) imaging of semiconductor pn-junctions are reviewed to propose a model and optimise the acquisition of experimental data. Insights are drawn on the dependence of the EBIC signal with electron accelerating voltage and surface conditions. It is concluded that improvements in the resolution of EBIC are possible when the surface conditions of the specimens are carefully considered and optimised. Lower accelerating voltage and increasing the surface recombination velocities are quantitatively shown to maximise the EBIC lateral resolution in locating the pn-junction. The effect of surface band bending is included in the model, and it is seen to primarily affect the surface recombination. Introducing controlled surface damage is shown a potential method for resolution enhancement via FIB milling with Ga+ions. These findings contribute to the understanding of this technique and can produce further improvements to its application in semiconductor device technology. |
| spellingShingle | Zhou, R Yu, M Twedde, D Hamer, P Chen, D Hallam, B Ciesla, A Altermatt, P Wilshaw, P Bonilla, R Understanding and optimising EBIC pn-junction characterisation from modelling insights |
| title | Understanding and optimising EBIC pn-junction characterisation from modelling insights |
| title_full | Understanding and optimising EBIC pn-junction characterisation from modelling insights |
| title_fullStr | Understanding and optimising EBIC pn-junction characterisation from modelling insights |
| title_full_unstemmed | Understanding and optimising EBIC pn-junction characterisation from modelling insights |
| title_short | Understanding and optimising EBIC pn-junction characterisation from modelling insights |
| title_sort | understanding and optimising ebic pn junction characterisation from modelling insights |
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