Deep-Learning Based Depth-Tracking of Stacking-Faults in Epitaxially Grown Silicon Wafers
Stacking faults in epitaxial silicon wafers are structural defects that can reduce the recombination lifetime of the final solar cells significantly. They are known to originate mostly at the interface between substrate and deposited layer, at contamination particles and atomic steps. This work pre...
Saved in:
Main Authors: | Theresa Trötschler, Saed Al-Hajjawi, Siddharth Raghavendran, Jonas Haunschild, Matthias Demant, Stefan Rein |
---|---|
Format: | Article |
Language: | English |
Published: |
TIB Open Publishing
2025-02-01
|
Series: | SiliconPV Conference Proceedings |
Subjects: | |
Online Access: | https://www.tib-op.org/ojs/index.php/siliconpv/article/view/1265 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Inline Mapping of Amorphous Silicon Layer Thickness of Heterojunction Precursors Using Multispectral Imaging
by: Saravana Kumar, et al.
Published: (2025-01-01) -
Preliminary reduction of chromium ore using Si sludge generated in silicon wafer manufacturing process
by: Jung W.-G., et al.
Published: (2018-01-01) -
Vertical photon sorting by stacking silicon and germanium nanopillars for broadband absorbers
by: Xu Rongyang, et al.
Published: (2023-03-01) -
Using Stacks for Image Segmentation Based on Region Growing
by: V. Yu. Tsviatkou
Published: (2020-07-01) -
Crack propagation in micro-chevron-test samples of direct bonded silicon-silicon wafers
by: Detlef Billep, et al.
Published: (2011-01-01)