| Computing based on the von Neumann architecture has come to dominate the modern electronics industry since the invention of the transistor and the integrated circuit.Although the miniaturization of traditional computing hardware has progressed to a certain extent,the shortcomings of the von Neumann computer,such as low communication efficiency and energy loss,are particularly prominent.Neuromorphic computing has been extensively studied in recent years due to its potential advantages over traditional von Neumann architectures.Among them,neural networks have received extensive attention in the scientific community because of their ability to perform learning and spatiotemporal information processing in parallel.In this artical,an electric double layer(EDL)junctionless transistor array is constructed based on the ionic biopolymer sodium alginate(SA).Specifically,the following research were carried out:(1)Preparation and characterization of SA electrolyte films and EDL junctionless transistor arrays.Using a silicon wafer with a 300 nm oxide layer as the substrate,the EDL junctionless transistor was prepared by solution method and magnetron sputtering process.The device electrodes and channels were characterized by atomic force microscopy,and Fourier transform infrared spectroscopy was used.The thin film was analyzed,which paved the way for the test of the biomimetic performance of the device below.(2)The electrical properties of EDL junctionless ITO transistor arrays are studied.For a single EDL junctionless ITO transistor,the device operates well at low voltage(2 V)with a large current on-off ratio(>10~6)and on-state current(>10μA).We attribute this low-voltage operating characteristic to the EDL gate-field regulation mechanism.In addition,the device network was found to have good repeatability and uniformity by repeating tests of the transfer characteristics at different gate locations of individual devices in the transistor array.When the distance between the gate and the channel is changed,the device also has different gate electric field coupling effects,which can be used to simulate many biological synaptic behaviors.(3)Use EDL junctionless ITO transistor array to simulate artificial synaptic network and explore its application in the field of bionics.First,based on a single-device artificial synapse,some important synaptic functions,such as excitatory postsynaptic current(EPSC),paired-pulse facilitation(PPF),and dynamic filtering behavior,are realized.Secondly,the pain perception behavior of nociceptors ubiquitous in biology to external stimuli has also been experimentally demonstrated,and the appearance of this characteristic is due to the ion/electron interface coupling and its carrier relaxation mechanism.Finally,an artificial pain network with tunable pain perception and threshold was successfully constructed by fabricating a 5×5 EDL junctionless ITO transistor array.Interestingly,the nociceptor network exhibits spatiotemporally-correlated Lorentz-type polarity reversal.These results provide a new perspective for future research in bionic medical machines,intelligent robots,and other fields. |
