The obstacle is to discover a method to manufacture these catalysts in situ using materials on Mars, rather of transporting them from the Earth, which is of high cost.Advancements in AI and Martian ChemistryTo tackle this issue, a team led by Prof. Luo Yi, Prof. Jiang Jun, and Prof. Shang Weiwei from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), just recently made it possible to enhance and manufacture OER drivers immediately from Martian meteorites with their robotic synthetic intelligence (AI)- chemist.Their research study, in cooperation with Deep Space Exploration Laboratory, was just recently published in the journal Nature Synthesis. The simulation information are utilized to train a neural network design for rapidly predicting the catalysts activities with different elemental compositions.Finally, through Bayesian optimization, the brain predicts the combination of available Martian ores required for synthesizing the optimal OER catalyst.Achieving a Breakthrough in Oxygen ProductionSo far, the AI chemist has produced an outstanding catalyst using 5 types of Martian meteorites under unmanned conditions. A more test at -37 ° C, the temperature on Mars, confirmed that the driver can gradually produce oxygen without any evident degradation.Within 2 months, the AI chemist has finished the complex optimization of catalysts that would take 2000 years for a human chemist.The group is working to turn the AI chemist into a basic experiment platform for different chemical syntheses without human intervention.
The challenge is to find a way to synthesize these drivers in situ using materials on Mars, rather of transferring them from the Earth, which is of high cost.Advancements in AI and Martian ChemistryTo tackle this problem, a team led by Prof. Luo Yi, Prof. Jiang Jun, and Prof. Shang Weiwei from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), recently made it possible to synthesize and enhance OER catalysts immediately from Martian meteorites with their robotic artificial intelligence (AI)- chemist.Their research, in collaboration with Deep Space Exploration Laboratory, was recently published in the journal Nature Synthesis. The simulation information are utilized to train a neural network model for rapidly anticipating the catalysts activities with various essential compositions.Finally, through Bayesian optimization, the brain anticipates the combination of available Martian ores needed for manufacturing the optimal OER catalyst.Achieving a Breakthrough in Oxygen ProductionSo far, the AI chemist has actually developed an excellent driver utilizing five types of Martian meteorites under unmanned conditions. An additional test at -37 ° C, the temperature level on Mars, validated that the catalyst can steadily produce oxygen without any obvious degradation.Within 2 months, the AI chemist has actually finished the complex optimization of catalysts that would take 2000 years for a human chemist.The team is working to turn the AI chemist into a basic experiment platform for different chemical syntheses without human intervention.