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[CNMO News] On November 14, according to Xinhua News Agency, the team of professors Luo Yi, Jiang Jun, and Shang Weiwei of the University of Science and Technology of China recently cooperated with researcher Zhang Zhe of the Deep Space Exploration Laboratory and others to use intelligent robots "machine Chemist" has successfully developed a new type of catalyst using Martian meteorites, providing a high-efficiency, low-energy solution for producing oxygen from water on Mars, and exploring a new way to develop chemicals using local materials in galaxies outside the Earth. Today, the internationally renowned academic journal Nature Synthesis published this research result.
According to reports, researchers from the University of Science and Technology of China and the Deep Space Exploration Laboratory collaborated to use their self-developed intelligent robot "Machine Chemist" to analyze and extract components from Martian meteorites, and successfully developed a new type of Oxygen production catalyst. This research has verified that artificial intelligence can automatically develop new materials and is expected to contribute to human beings' ability to create oxygen, build bases, and produce food on planets far away from the earth. In addition, we can also use the resources of Mars to develop more chemicals to help us further explore the deep space of the solar system
According to the introduction, the machine chemist developed by the University of Science and Technology of China is named Xiaolai. Not only does it have the ability to learn, it can also think and perform tasks. In the process of developing catalysts this time, there were more than 3.76 million possible combination formulas based on the various chemical compositions of Martian meteorites. If the human scientific research team were to rely on experimental verification one by one, it would take more than two thousand years. Xiaolai studied more than 50,000 related chemistry papers, used his intelligent brain to think, and designed a basic formula. It then conducted experiments and continuously adjusted the ratio based on the results, and found the best formula in just 6 weeks
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