0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessEnhanced transverse force sensitivity of vertically aligned GaN nanowires is demonstrated using the piezotronic effect. The transverse force sensitivity is calculated to be 1.24 ± 0.13 ln(A)/nN, with a resolution better than 16 nN and the response time less than 5 ms. The nano-Newton force resolution shows the potential for piezoelectric semiconductor materials to be used as the main building block for micro-/nanosensor arrays or artificial skin. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Yusheng Zhou, Ronan Hinchet, Ya Yang, Gustavo Ardila, Rudeesun Songmuang, Fang Zhang, Yan Zhang, Weihua Han, Ken C. Pradel, L. Montès, Mireille Mouis, Zhong Lin Wang (2012). Nano‐Newton Transverse Force Sensor Using a Vertical GaN Nanowire based on the Piezotronic Effect. , 25(6), DOI: https://doi.org/10.1002/adma.201203263.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2012
Authors
12
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1002/adma.201203263
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access