Li Guanmin, Wang Zhong, Chen Yuliang, Jeon Jae-Chun, Parkin Stuart S P
Max Planck Institute of Microstructure Physics, Weinberg 2, 06120, Halle (Saale), Germany.
Nat Commun. 2024 Jul 11;15(1):5820. doi: 10.1038/s41467-024-49925-3.
Computational technologies based on coupled oscillators are of great interest for energy efficient computing. A key to developing such technologies is the tunable control of the interaction among oscillators which today is accomplished by additional electronic components. Here we show that the synchronization of closely spaced vanadium dioxide (VO) oscillators can be controlled via a simple thermal triggering element that itself is formed from VO. The net energy consumed by the oscillators is lower during thermal coupling compared with the situation where they are oscillating independently. As the size of the oscillator shrinks from 6 μm to 200 nm both the energy efficiency and the oscillator frequency increases. Based on such oscillators with active tuning, we demonstrate AND, NAND, and NOR logic gates and various firing patterns that mimic the behavior of spiking neurons. Our findings demonstrate an innovative approach towards computational techniques based on networks of thermally coupled oscillators.
基于耦合振荡器的计算技术对于节能计算具有重大意义。开发此类技术的关键在于对振荡器之间相互作用的可调谐控制,目前这是通过额外的电子元件来实现的。在此我们表明,紧密间隔的二氧化钒(VO)振荡器的同步可以通过一个由VO本身构成的简单热触发元件来控制。与振荡器独立振荡的情况相比,热耦合期间振荡器消耗的净能量更低。随着振荡器尺寸从6μm缩小到200nm,能量效率和振荡器频率都会提高。基于这种具有主动调谐功能的振荡器,我们展示了与门、与非门和或非门逻辑门以及各种模拟尖峰神经元行为的放电模式。我们的研究结果展示了一种基于热耦合振荡器网络的计算技术创新方法。