Emmerich Theo, Teng Yunfei, Ronceray Nathan, Lopriore Edoardo, Chiesa Riccardo, Chernev Andrey, Artemov Vasily, Di Ventra Massimiliano, Kis Andras, Radenovic Aleksandra
Laboratory of Nanoscale Biology, Institute of Bioengineering, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland.
NCCR Bio-Inspired Materials, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland.
Nat Electron. 2024;7(4):271-278. doi: 10.1038/s41928-024-01137-9. Epub 2024 Mar 19.
Neuromorphic systems are typically based on nanoscale electronic devices, but nature relies on ions for energy-efficient information processing. Nanofluidic memristive devices could thus potentially be used to construct electrolytic computers that mimic the brain down to its basic principles of operation. Here we report a nanofluidic device that is designed for circuit-scale in-memory processing. The device, which is fabricated using a scalable process, combines single-digit nanometric confinement and large entrance asymmetry and operates on the second timescale with a conductance ratio in the range of 9 to 60. In operando optical microscopy shows that the memory capabilities are due to the reversible formation of liquid blisters that modulate the conductance of the device. We use these mechano-ionic memristive switches to assemble logic circuits composed of two interactive devices and an ohmic resistor.
神经形态系统通常基于纳米级电子设备,但自然界依靠离子进行节能信息处理。因此,纳米流体忆阻器件有可能用于构建能模拟大脑基本运作原理的电解计算机。在此,我们报告一种专为电路规模的内存处理而设计的纳米流体器件。该器件采用可扩展工艺制造,结合了个位数纳米级限制和较大的入口不对称性,并在第二个时间尺度上运行,电导比在9至60范围内。原位光学显微镜显示,该器件的存储能力源于液泡的可逆形成,这些液泡调节了器件的电导。我们使用这些机械离子忆阻开关来组装由两个交互器件和一个欧姆电阻组成的逻辑电路。