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Vertically Stacked Nanosheet FET: Charge- Trapping Memory and Synapse With Linear Weight Adjustability for Neuromorphic Computing Applications
Research article (IEEE Transactions on Electron Devices, 2023) · cited 13× · AI/ML
Vertically Stacked Nanosheet FET: Charge- Trapping Memory and Synapse With Linear Weight Adjustability for Neuromorphic Computing Applications
Summary
Vertically Stacked Nanosheet FET: Charge- Trapping Memory and Synapse With Linear Weight Adjustability for Neuromorphic Computing Applications is a scholarly article[1].
Key Facts
Vertically Stacked Nanosheet FET: Charge- Trapping Memory and Synapse With Linear Weight Adjustability for Neuromorphic Computing Applications's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Vertically Stacked Nanosheet FET: Charge- Trapping Memory and Synapse With Linear Weight Adjustability for Neuromorphic Computing Applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/vertically-stacked-nanosheet-fet-charge-trapping-memory-and-synapse-with-linear-weight-adjustability-for-neuromorphic-co
MLA“Vertically Stacked Nanosheet FET: Charge- Trapping Memory and Synapse With Linear Weight Adjustability for Neuromorphic Computing Applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vertically-stacked-nanosheet-fet-charge-trapping-memory-and-synapse-with-linear-weight-adjustability-for-neuromorphic-co.
BibTeX@misc{4ortxyz_vertically-stacked-nanosheet-fet-charge-trapping-memory-and-synapse-with-linear-weight-adjustability-for-neuromorphic-co_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Vertically Stacked Nanosheet FET: Charge- Trapping Memory and Synapse With Linear Weight Adjustability for Neuromorphic Computing Applications}}, year = {2026}, url = {https://4ort.xyz/entity/vertically-stacked-nanosheet-fet-charge-trapping-memory-and-synapse-with-linear-weight-adjustability-for-neuromorphic-co}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Vertically Stacked Nanosheet FET: Charge- Trapping Memory and Synapse With Linear Weight Adjustability for Neuromorphic Computing Applications — https://4ort.xyz/entity/vertically-stacked-nanosheet-fet-charge-trapping-memory-and-synapse-with-linear-weight-adjustability-for-neuromorphic-co (retrieved 2026-05-24)
