E2CDA: Type II: A new non-volatile electrochemical transistor as an artificial synapse: device scaling studies

E2CDA：II 型：作为人工突触的新型非易失性电化学晶体管：器件缩放研究

• 批准号: 1739795
• 负责人: Alberto Salleo
• 金额: $ 21.01万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-15 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1739795&HistoricalAwards=false
• 关键词: E2CDA; Type; II; new; non; E2CDA; Type; II; new; non

One way to move computational power beyond the limits imposed by Moore's Law is to build computer architectures that mimic the brain. Indeed the brain is able to perform certain classes of complex computations, such as pattern recognition, very efficiently and using low power in spite of its inherent low speed. A novel device that exhibits some of the useful properties of the synapses found in the brain, such as ultra low-power switching, is explored in this proposal. Its working mechanism will be studied in detail and arrays of devices will be fabricated and miniaturized in order to provide a first step towards brain-like integrated circuits. Neuromorphic electronics, as these devices are often called, are a growing area of interest, therefore the research developed in this award has the potential to impact the future of the microelectronics industry and to produce a workforce trained for this emerging area. Finally, the optical properties of the device, which changes color upon operation, will allow to develop an outreach activity connecting art and science with the ultimate goal of attracting a more diverse student population to the area of materials science of electronic devices.A new device based on polymeric semiconductors that mimics the functions of synapses, called ENODe (electrochemical neuromorphic organic device), will be studied. ENODes with ultra-low switching energy (10 pJ), sub-mV switching voltage, retaining 500 individual states in a non-volatile fashion were demonstrated. The physical origin of such low switching energies and voltages will be investigated with the goal of optimizing the architecture of the ENODe. Furthermore, ENODes will be fabricated with an array of different materials that may enable a higher level of integration making use of solid-state technology to increase the switching speed beyond 1 kHz into the MHz range. Finally, using the same process used in traditional microelectronics, arrays of ENODes will be fabricated to test the reproducibility and the scaling laws of these new devices.

将计算能力超出摩尔定律施加的限制的一种方法是建立模仿大脑的计算机体系结构。实际上，大脑能够非常有效地执行某些类别的复杂计算，例如模式识别，尽管其固有的低速也使用了低功率。在此提案中探索了一种具有大脑中发现的突触的一些有用特性的新型设备，例如超低功率开关。将详细研究其工作机制，并将设备阵列进行制造和微型化，以提供迈向脑状集成电路的第一步。神经形态电子设备通常被称为越来越多的感兴趣领域，因此，该奖项中开发的研究有可能影响微电子工业的未来，并生产为该新兴地区培训的劳动力。 Finally, the optical properties of the device, which changes color upon operation, will allow to develop an outreach activity connecting art and science with the ultimate goal of attracting a more diverse student population to the area of​​ materials science of electronic devices.A new device based on polymeric semiconductors that mimics the functions of synapses, called ENODe (electrochemical neuromorphic organic device), will be studied.展示了具有超低开关能量（10 PJ），亚MV开关电压，以非挥发性方式保留500个单个状态的ENODES。将研究这种低开关能和电压的物理起源，目的是优化eNODE的架构。此外，ENODE将使用各种不同的材料制造，这些材料可能使更高水平的集成使用固态技术将开关速度提高到1 kHz超过MHz范围的1 kHz。最后，使用在传统微电子学中使用的相同过程，将制造出ENODE的阵列以测试这些新设备的可重复性和缩放定律。