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Patterning polymer films is of significant interest for a broad range of applications. In this paper, a method of patterning polymer films is proposed, which is based on the liquid polymer film flow actuated by ionic wind. We placed the mask in ionic wind which can be modulated spatially. Under such conditions of spatial-modulated ionic winds, the liquid polymer presents different flow regimes, the morphologies of which duplicate the masks of different shapes. The patterning mechanism was investigated through numerical simulations. Different masks, such as line strips, serpentine-shaped stripes, and nuts, were adopted to manipulate the polymer-patterns with the presented method. The different polymer patterns were solidified and characterized, which verifies the feasibility of the methods for the formation of different complex polymer patterns.

The requirements for the resolution and refresh rate of micro‐displays in virtual reality applications are getting higher and higher. High resolution and high refresh rates mean that massive amounts of data will be transmitted, which will undoubtedly put tremendous pressure on bandwidth. To solve this problem, this paper considers the application scenarios of digitally driven micro‐displays in the field of virtual reality and proposes a compression scheme based on bit‐plane. On the one hand, the traditional just noticeable difference model is improved. A just noticeable difference model suitable for bit‐plane and virtual reality applications is established. On the other hand, combined with the correlation of video data, white block skipping encoding is optimized to achieve bit‐plane compression. Based on the proposed scheme, this paper builds a digitally driven micro‐ display system based on bit‐plane compression with FPGA as the core. The effectiveness of the system is verified by lighting a digitally driven silicon‐based OLED micro‐display. The experimental results show that the digitally driven micro‐display system based on bit‐plane compression effectively improves the compression efficiency and reduces the transmission data. The display effect is good, which meets the needs of virtual reality applications.

With the development of 5G networks, a new wave of development is ushered in the field of virtual reality (VR). The small physical size, lightweight, low power consumption, and high brightness make microdisplays the core components of VR. In order to improve the user's immersive experience and reduce the screen window effect, microdisplays are required to have higher pixel density and faster refresh speeds. However, this demand results in a large amount of data transmission and poor real‐time rendering of image information. When the human eye observes an image, the gaze point changes due to the interest of the viewer. To solve this problem, we propose an image compression algorithm based on visual perception adaptation to reduce data transmission bandwidth. The experimental results show that when sight distance is 2, the maximum comprehensive compression ratio is 42.834, the minimum comprehensive compression ratio is 11.415, the minimum clock frequency is 17.033MHz, and the maximum clock frequency is 63.916MHz. The algorithm effectively reduces the data transmission bandwidth and meets the real‐time rendering of VR application, and the rendering effect is good.

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