Investigating Floating-Gate Topology Influence on van der Waals Memory Performance
Salvato in:
| Pubblicato in: | Nanomaterials vol. 15, no. 9 (2025), p. 666 |
|---|---|
| Autore principale: | |
| Altri autori: | , , , , , |
| Pubblicazione: |
MDPI AG
|
| Soggetti: | |
| Accesso online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3203213985 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2079-4991 | ||
| 024 | 7 | |a 10.3390/nano15090666 |2 doi | |
| 035 | |a 3203213985 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231543 |2 nlm | ||
| 100 | 1 | |a Zheng, Hao | |
| 245 | 1 | |a Investigating Floating-Gate Topology Influence on van der Waals Memory Performance | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a As a critical storage technology, the material selection and structural design of flash memory devices are pivotal to their storage density and operational characteristics. Although van der Waals materials can potentially take over the scaling roadmap of silicon-based technologies, the scaling mechanisms and optimization principles at low-dimensional scales remain to be systematically unveiled. In this study, we experimentally demonstrated that the floating-gate length can significantly affect the memory window characteristics of memory devices. Experiments involving various floating-gate and tunneling-layer configurations, combined with TCAD simulations, were conducted to reveal the electrostatic coupling behaviors between floating gate and source/drain electrodes during shaping of the charge storage capabilities. Fundamental performance characteristics of the designed memory devices, including a large memory ratio (82.25%), good retention (>50,000 s, 8 states), and considerable endurance characteristics (>2000 cycles), further validate the role of floating-gate topological structures in manipulating low-dimensional memory devices, offering valuable insights to drive the development of next-generation memory technologies. | |
| 653 | |a Cognitive ability | ||
| 653 | |a Memory devices | ||
| 653 | |a Structural engineering | ||
| 653 | |a Materials selection | ||
| 653 | |a Flash memory (computers) | ||
| 653 | |a Structural design | ||
| 653 | |a Topology | ||
| 653 | |a Data storage | ||
| 653 | |a Investigations | ||
| 653 | |a Electrodes | ||
| 653 | |a Trends | ||
| 653 | |a Performance characteristics | ||
| 700 | 1 | |a Qin Yusang | |
| 700 | 1 | |a Gao Caifang | |
| 700 | 1 | |a Fang Junyi | |
| 700 | 1 | |a Zou Yifeng | |
| 700 | 1 | |a Li, Mengjiao | |
| 700 | 1 | |a Zhang, Jianhua | |
| 773 | 0 | |t Nanomaterials |g vol. 15, no. 9 (2025), p. 666 | |
| 786 | 0 | |d ProQuest |t Materials Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3203213985/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3203213985/fulltextwithgraphics/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3203213985/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |