With the successful development of artificial intelligence (AI), Convolutional Neural Networks (CNNs) occupy a large amount of computing time and power consumption in the entire AI computing process. However, in tradi...
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ISBN:
(数字)9798331504120
ISBN:
(纸本)9798331504137
With the successful development of artificial intelligence (AI), Convolutional Neural Networks (CNNs) occupy a large amount of computing time and power consumption in the entire AI computing process. However, in traditional von Neumann architectures, the separation of the computing element and memory leads to the memory-wall problem of memory data transmission bandwidth from memory to processing element when executing multiply-accumulate-based CNN operations. The data transmission time and power consumption all are much higher than the CNN computing part. Therefore, this paper proposes a memory-in-computation design that can flexibly adjust energy usage, achieve high energy efficiency, and support multiple operation frequencies. By controlling the switches of each memory row, unnecessary energy consumption is avoided, leading to a reduction in total power consumption by 15% to 60%. Additionally, by adjusting the pulse width, the charging power consumption of capacitors is reduced by 65% per charge cycle.
The development of high-performance supercapacitor electrodes demands novel synthesis methods to precisely control the properties of the active material. Here, we report an advanced one-step approach that employs ammo...
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The development of high-performance supercapacitor electrodes demands novel synthesis methods to precisely control the properties of the active material. Here, we report an advanced one-step approach that employs ammonium hydrogen fluoride (NH 4 HF 2 ) and ammonium tetrafluoroborate (NH 4 BF 4 ) as dual-structure directing agents (SDAs) to develop novel zeolitic imidazolate framework-67 (ZIF-67) derivatives (ZIF-HB), with cobalt and nickel hydroxides as the main components. Modulation of the NH 4 HF 2 /NH 4 BF 4 molar ratio results in significant changes to the morphology, surface and electronic configurations, and electrochemical behavior. The optimized ZIF-HB (ZIF-HB12) electrode delivers impressive electrochemical performance, achieving a high specific capacitance (C F ) of 1933.3 F/g at 20 mV/s. It is revealed from advanced structural analyses, including operando X-ray absorption spectroscopy that the redox reactivity and charge transfer dynamics are considerably boosted as a result of synergistic interactions between Co and Ni sites. An asymmetric supercapacitor (SC) assembled using ZIF-HB12 shows maximum energy density of 19 Wh/kg at 1143 W/kg, with a C F retention of 81.3% and a Coulombic efficiency of 97.2% after 10,000 cycles. This study highlights the effectiveness of dual-function SDAs in designing structurally robust, electrochemically active, and electronically optimized electrode materials for cutting-edge energy storage solutions.
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