Visual perception and storage device and its preparation method and application
A technology of visual perception and storage devices, applied in the field of virtual reality, can solve problems such as low resolution, inability to store and remember, poor accuracy, etc.
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Embodiment 1
[0038] Embodiment 1 Preparation and Performance Testing of Visual Perception and Storage Devices
[0039] (1) Preparation of the resistance switching memory 1: by photolithography and atomic layer deposition technology, a layer such as figure 1 The gold electrode 4 in the middle, and then on the gold electrode at one end, deposit a layer of aluminum oxide memristive layer 5 with a thickness of 23 nanometers in situ on the gold electrode at one end. deposition cycle. After the deposition is complete, a layer such as figure 1 The nickel electrode 6 in the memristor is used as the upper electrode of the memristor and the double-terminal electrode of the ultraviolet photodetector at the same time, and the obtained micrograph is as follows figure 2 shown.
[0040] (2) Preparation of photodetector 2: ① first prepare the precursor solution used for the photosensitive material: at room temperature, 0.5g hydrated indium nitrate (In(NO3 ) 3 4.5H 2 O) The powder is added to the mix...
Embodiment 2
[0042] Example 2 Preparation and Performance Test of 10×10 Flexible Array Visual Perception and Storage System
[0043] In order to improve the spatial resolution of the device, accurately perceive the distribution of light, and realize the simulation of the artificial vision system, a 100-pixel flexible integrated electronic device (such as Figure 7 ), the preparation method is similar to (1), (2) steps in Example 1, the difference is that: the number of nanofiber arrays in step (2) is set to 10, the photolithographic process used in step (1) The mask plate is a 10×10 array mask plate, and the patterned ultraviolet light used in the performance test is the ultraviolet light pattern generated by the laser passing through the electron diffraction element (DOE), and finally through the summary analysis of all unit device data , the visual effect simulated by matlab software is as follows Figure 8 shown.
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