年別の研究成果
年別の研究成果
フィンガープリント
Takashi Ohsawaが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。
- 1 類似のプロファイル
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A binarized spiking neural network based on auto-reset LIF neurons and large signal synapses using STT-MTJs
Liu, H. & Ohsawa, T., 2023 4月 1, In: Japanese journal of applied physics. 62, 4, 044501.研究成果: Article › 査読
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A gate leakage current-powered loadless 4T SRAM with immunity against random dopant fluctuation and surface roughness in silicon-silicon dioxide interface
Zhu, Y. & Ohsawa, T., 2023 4月 1, In: Japanese journal of applied physics. 62, SC, SC1004.研究成果: Article › 査読
Open Access -
A loadless 4T SRAM powered by gate leakage current with a high tolerance for fluctuations in device parameters
Zhu, Y. & Ohsawa, T., 2022, In: Japanese journal of applied physics. 61, SC1053.研究成果: Article › 査読
2 被引用数 (Scopus) -
A Low-Cost Training Method of ReRAM Inference Accelerator Chips for Binarized Neural Networks to Recover Accuracy Degradation due to Statistical Variabilities
Chen, Z. & Ohsawa, T., 2022 8月, In: IEICE Transactions on Electronics. E105.C, 8, p. 375-384 10 p.研究成果: Article › 査読
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Spin-Transfer Torque Magnetic Tunnel Junction Model Based on Fokker-Planck Equation for Stochastic Circuit Simulations
Liu, H. & Ohsawa, T., 2022, 2022 IEEE 22nd International Conference on Nanotechnology, NANO 2022. IEEE Computer Society, p. 287-290 4 p. (Proceedings of the IEEE Conference on Nanotechnology; vol. 2022-July).研究成果: Conference contribution
1 被引用数 (Scopus)