What question did this study set out to answer?

To develop a method for synthetically encoding high-resolution morphological features in silicon nanowires.

April 3, 2026Open Access

Synthetically Encoding 10 nm Morphology in Silicon Nanowires

View Full Paper

Ask AI

Bookmark

Authors

This research demonstrates new morphological encoding in nanowires, enhancing electronic and photonic technologies.

To develop a method for synthetically encoding high-resolution morphological features in silicon nanowires.
Utilized a bottom-up approach to manipulate nanowire morphology.
Applied rapid modulation of phosphorus doping for precise features.
Implemented selective wet-chemical etching to pattern shapes over long nanowires.
Successfully patterned features as small as 10 nm along nanowires over 50 µm in length.
Demonstrated plasmonic structures with tunable resonances using nanogap-encoded nanowires.
Integrated core/shell Si/SiO2 nanorods into electronic devices for nonvolatile memory storage.

Christesen et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

April 3, 2026Open Access

View Full Paper

Ask AI

Bookmark

Authors

This research demonstrates new morphological encoding in nanowires, enhancing electronic and photonic technologies.

To develop a method for synthetically encoding high-resolution morphological features in silicon nanowires.
Utilized a bottom-up approach to manipulate nanowire morphology.
Applied rapid modulation of phosphorus doping for precise features.
Implemented selective wet-chemical etching to pattern shapes over long nanowires.
Successfully patterned features as small as 10 nm along nanowires over 50 µm in length.
Demonstrated plasmonic structures with tunable resonances using nanogap-encoded nanowires.
Integrated core/shell Si/SiO2 nanorods into electronic devices for nonvolatile memory storage.

Christesen et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark