02/17/2025, 06:26 PM UTC
六方氮化硼原子电阻器：神经形态计算的节能解决方案Hexagonal Boron Nitride Atomristors: A Low-Power Solution for Neuromorphic Computing
<p>➀ 该研究探讨了六方氮化硼（HBN）原子电阻器在节能神经形态计算中的潜力；</p><p>➁ 研究人员展示了HBN原子电阻器的大存储窗口、低漏电流和最小功耗；</p><p>➂ 研究突出了HBN在神经形态计算系统中的高性能应用潜力。</p><p>➀ This study explores hexagonal boron nitride (h-BN) atomristors for their potential in energy-efficient neuromorphic computing; </p><p>➁ The researchers demonstrate the large memory window, low leakage current, and minimal power consumption of h-BN atomristors; </p><p>➂ The study highlights the potential of h-BN for high-performance applications in neuromorphic computing systems.</p>
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