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Hunetplus official announced a breakthrough deposition mask, up to the production of 8000ppi OLED panel

Shulou Source: shulou.com Published: 2023-11-24 18:06:29 10月03日 Update

CTOnews.com July 15 news, specializing in the next generation of semiconductors and display materials of the South Korean company Hunetplus issued an announcement yesterday, announced that a mixture of organic and inorganic materials, the successful manufacture of OLED display panel deposition mask.

CTOnews.com Note: the OLED display panel mainly uses metal plates to make deposition masks, so it is also known as fine metal masks. The main function is to accurately deposit the luminous organic material on the substrate during the production of the OLED panel, ensuring that the organic material is accurately deposited into the pixel area of the thin film transistor to create visual images.

This conventional mask process is mature, but the drawback is that the resolution is up to 500 pixels per inch, and it is expensive and heavy, so it is difficult to expand to a larger panel.

To solve this problem, Hunetplus has developed a groundbreaking deposition mask that is not only lighter and cheaper, but also produces panels with higher pixel density.

Specifically, the company has been focused on developing 6000 ppi display technology, which is seen by the Ministry of Science and ICT as the key to the development of extended reality devices.

Hunetplus said the new deposition mask has an ultra-high resolution OLED panel that produces 2000-8000 ppi.

Hunetplus predicts that the global market for ultra-fine metal masks in OLED displays is expected to grow at an average annual rate of more than 30%, and the masks developed will be recognized and supported by customers, including Apple, Samsung, LG, Sony and Facebook.

Tags: Panels materials pixels metal development precision company resolution customer technology mask weight problem production highest breakthrough breakthrough mature expensive next generation Apple Docker Huawei Linux macOS MariaDB Microsoft MySQL NVidia OPPO Reno OPPO Reno MySQL Microsoft MariaDB Xiaomi