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2022-08-03
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When artificial intelligence "meets" new materials - Chinese Academy of Sciences focuses on scientific and technological innovation in Guangdong, Hong Kong, Macao and the Great Bay area

Xinhua news agency, Guangzhou 6 materials with a large amount of oxygen groups will be used as insulators rather than conductors. On May 17 (Dong can also output these data to Ruifeng and jinghuaiqiao through RS232 port) "at present, many 'neck' technologies are related to material science." Zhaozhongxian, the winner of the national highest science and technology award, said on the 17th. What should I do? He then gave a plan: artificial intelligence can promote the development of material science

in Guangdong 1. What should be paid attention to when using cement pressure testing machine? At the technology innovation forum of Guangdong, Hong Kong and Macao Grand Bay held in Songshan Lake, many academicians and experts including zhaozhongxian talked about the prospect of artificial intelligence "meeting" new materials

using the traditional method, the material composition can only be analyzed and tested once or twice a day, which has long cycle, high cost and high risk. It takes an average of 10 years for a new material to be "born" in the laboratory, and another 20 years to "enter" the production workshop from the laboratory. With the help of artificial intelligence, the R & D and application cycle of new materials is expected to be shortened by more than half

according to wangweihua, academician of Institute of physics, Chinese Academy of Sciences, artificial intelligence is changing the way of discovering new materials. It is not only more efficient, but also "turning waste into treasure". "Through the machine learning of waste data and the prediction of new materials, the results may even be better than the artificial judgment of material scientists." He said

artificial intelligence is expected to accelerate the "blowout" of new materials, and new materials will also support the further development of artificial intelligence. Intelligent robots, wearable medical devices, virtual reality (VR) imaging, IOT urban systems... Future intelligent sensors need high sensitivity, flexibility, transparency and stability, which puts forward new requirements for materials

"two dimensional materials, such as graphene, can meet this series of requirements." Cheng Huiming, academician of Institute of metals, Chinese Academy of Sciences, said that if such new materials are applied to intelligent sensing and higher-level neuron like structures, they will greatly promote the development of artificial intelligence

"the production organization of human enterprises is more flexible and creative. The industrial intelligence and material science should deepen exchanges and promote each other." Zhaozhongxian said that in the future, solving the problem of sensitive components used in artificial intelligence depends on material science. At the same time, it is necessary to develop artificial intelligence technology and theory according to the needs of material science

the Guangdong Hong Kong Macao Dawan District Science and technology innovation forum continued to focus on the combination of industry, University and research of artificial intelligence and material science in June, following the discussion held by academicians and experts in May. The forum, sponsored by the working Bureau of the Faculty of Sciences of the Chinese Academy of Sciences and the Institute of physics of the Chinese Academy of Sciences, will give full play to the exemplary and driving role of academicians as high-end talents, pool national advantageous scientific and technological resources and forces, and provide strategic suggestions for the innovative development of Guangdong, Hong Kong and Macao Bay area

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