Deep learning acceleration in 14nm CMOS compatible ReRAM array: device, material and algorithm co-optimization
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Deep learning acceleration in 14nm CMOS compatible ReRAM array: device, material and algorithm co-optimization is a scholarly article[1].
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Deep learning acceleration in 14nm CMOS compatible ReRAM array: device, material and algorithm co-optimization's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep learning acceleration in 14nm CMOS compatible ReRAM array: device, material and algorithm co-optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-acceleration-in-14nm-cmos-compatible-reram-array-device-material-and-algorithm-co-optimization
MLA“Deep learning acceleration in 14nm CMOS compatible ReRAM array: device, material and algorithm co-optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-acceleration-in-14nm-cmos-compatible-reram-array-device-material-and-algorithm-co-optimization.
BibTeX@misc{4ortxyz_deep-learning-acceleration-in-14nm-cmos-compatible-reram-array-device-material-and-algorithm-co-optimization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning acceleration in 14nm CMOS compatible ReRAM array: device, material and algorithm co-optimization}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-acceleration-in-14nm-cmos-compatible-reram-array-device-material-and-algorithm-co-optimization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning acceleration in 14nm CMOS compatible ReRAM array: device, material and algorithm co-optimization — https://4ort.xyz/entity/deep-learning-acceleration-in-14nm-cmos-compatible-reram-array-device-material-and-algorithm-co-optimization (retrieved 2026-05-24)
