Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom; Department of Engineering Product Development, Singapore University of Technology and Design, Singapore 138682, Singapore; and.
Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom;
Proc Natl Acad Sci U S A. 2014 Sep 16;111(37):13272-7. doi: 10.1073/pnas.1407633111. Epub 2014 Sep 2.
The ultrahigh demand for faster computers is currently tackled by traditional methods such as size scaling (for increasing the number of devices), but this is rapidly becoming almost impossible, due to physical and lithographic limitations. To boost the speed of computers without increasing the number of logic devices, one of the most feasible solutions is to increase the number of operations performed by a device, which is largely impossible to achieve using current silicon-based logic devices. Multiple operations in phase-change-based logic devices have been achieved using crystallization; however, they can achieve mostly speeds of several hundreds of nanoseconds. A difficulty also arises from the trade-off between the speed of crystallization and long-term stability of the amorphous phase. We here instead control the process of melting through premelting disordering effects, while maintaining the superior advantage of phase-change-based logic devices over silicon-based logic devices. A melting speed of just 900 ps was achieved to perform multiple Boolean algebraic operations (e.g., NOR and NOT). Ab initio molecular-dynamics simulations and in situ electrical characterization revealed the origin (i.e., bond buckling of atoms) and kinetics (e.g., discontinuouslike behavior) of melting through premelting disordering, which were key to increasing the melting speeds. By a subtle investigation of the well-characterized phase-transition behavior, this simple method provides an elegant solution to boost significantly the speed of phase-change-based in-memory logic devices, thus paving the way for achieving computers that can perform computations approaching terahertz processing rates.
对更快计算机的超高需求目前通过传统方法来解决,例如尺寸缩放(用于增加设备数量),但由于物理和光刻限制,这种方法正变得几乎不可能。为了在不增加逻辑器件数量的情况下提高计算机的速度,最可行的解决方案之一是增加设备执行的操作数量,而这在很大程度上是不可能通过当前基于硅的逻辑器件来实现的。基于相变的逻辑器件中的多个操作已经通过结晶来实现;然而,它们的速度大多只能达到几百纳秒。结晶速度和非晶相长期稳定性之间的权衡也带来了困难。相反,我们通过预熔化无序效应来控制熔化过程,同时保持基于相变的逻辑器件相对于基于硅的逻辑器件的优势。我们实现了仅 900 皮秒的熔化速度,从而执行了多个布尔代数运算(例如 NOR 和 NOT)。从头分子动力学模拟和原位电特性揭示了通过预熔化无序实现熔化的起源(即原子键的弯曲)和动力学(例如不连续行为),这是提高熔化速度的关键。通过对经过良好表征的相变行为的细致研究,这种简单的方法为显著提高基于相变的内存逻辑器件的速度提供了优雅的解决方案,从而为实现能够以太赫兹处理速率执行计算的计算机铺平了道路。