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Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators
Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators
Summary
Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators is a scholarly article[1].
Key Facts
Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators'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). Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators. Retrieved May 24, 2026, from https://4ort.xyz/entity/backend-and-flexible-substrate-compatible-analog-ferroelectric-fieldeffect-transistors-for-accurate-online-training-in-d
MLA“Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/backend-and-flexible-substrate-compatible-analog-ferroelectric-fieldeffect-transistors-for-accurate-online-training-in-d.
BibTeX@misc{4ortxyz_backend-and-flexible-substrate-compatible-analog-ferroelectric-fieldeffect-transistors-for-accurate-online-training-in-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators}}, year = {2026}, url = {https://4ort.xyz/entity/backend-and-flexible-substrate-compatible-analog-ferroelectric-fieldeffect-transistors-for-accurate-online-training-in-d}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators — https://4ort.xyz/entity/backend-and-flexible-substrate-compatible-analog-ferroelectric-fieldeffect-transistors-for-accurate-online-training-in-d (retrieved 2026-05-24)
