Department of Physics, Indian Institute of Space-Science and Technology (IIST), Valiyamala, Thiruvananthapuram, 695547, Kerala, India.
Sci Rep. 2020 Jul 24;10(1):12450. doi: 10.1038/s41598-020-68822-5.
Brain-inspired computation that mimics the coordinated functioning of neural networks through multitudes of synaptic connections is deemed to be the future of computation to overcome the classical von Neumann bottleneck. The future artificial intelligence circuits require scalable electronic synapse (e-synapses) with very high bit densities and operational speeds. In this respect, nanostructures of two-dimensional materials serve the purpose and offer the scalability of the devices in lateral and vertical dimensions. In this work, we report the nonvolatile bipolar resistive switching and neuromorphic behavior of molybdenum disulfide (MoS) quantum dots (QD) synthesized using liquid-phase exfoliation method. The ReRAM devices exhibit good resistive switching with an On-Off ratio of 10, with excellent endurance and data retention at a smaller read voltage as compared to the existing MoS based memory devices. Besides, we have demonstrated the e-synapse based on MoS QD. Similar to our biological synapse, Paired Pulse Facilitation / Depression of short-term memory has been observed in these MoS QD based e-synapse devices. This work suggests that MoS QD has potential applications in ultra-high-density storage as well as artificial intelligence circuitry in a cost-effective way.
通过大量的突触连接来模拟神经网络协调功能的脑启发计算被认为是克服经典冯·诺依曼瓶颈的未来计算方式。未来的人工智能电路需要可扩展的电子突触 (e-synapses),具有非常高的比特密度和操作速度。在这方面,二维材料的纳米结构满足这一要求,并提供了设备在横向和纵向维度上的可扩展性。在这项工作中,我们报告了使用液相剥离法合成的二硫化钼 (MoS) 量子点 (QD) 的非易失性双极性电阻开关和神经形态行为。与现有的基于 MoS 的存储器件相比,ReRAM 器件具有良好的电阻开关性能,具有 10 的导通-关断比,在较小的读取电压下具有出色的耐久性和数据保持能力。此外,我们还展示了基于 MoS QD 的 e-synapse。与我们的生物突触类似,在这些基于 MoS QD 的 e-synapse 器件中观察到了短期记忆的成对脉冲易化/抑制。这项工作表明,MoS QD 有可能以具有成本效益的方式在超高密度存储以及人工智能电路中得到应用。