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  1. Two-dimensional gC 3 N 4: an ideal platform for examining facet selectivity of metal co-catalysts in photocatalysis. S Bai, X Wang, C Hu, M Xie, J Jiang, Y Xiong. Chemical communications 50 (46), 6094-6097. , 2014. 255. 2014. Designing p‐type semiconductor–metal hybrid structures for improved photocatalysis.

  2. On the mechanistic basis of fatigue crack nucleation in Ni superalloy containing inclusions using high resolution electron backscatter diffraction. J Jiang, J Yang, T Zhang, FPE Dunne, TB Britton. Acta Materialia 97, 367-379. , 2015.

  3. Dr Jiang is a mechanical engineer who studies micro-thermomechanical behaviours of lightweight alloys and solar cells. He has published several papers on topics such as energy dissipation, carbon steel composites, and magnesium alloys.

  4. Jun JIANG, Lecturer | Cited by 3,229 | of Imperial College London, London (Imperial) | Read 134 publications | Contact Jun JIANG

    • Lecturer
    • Overview
    • Catalytic creator

    Researchers in China have developed a robot chemist powered by artificial intelligence (AI) that might be able to extract oxygen from water on Mars. The robot uses materials found on the red planet to produce catalysts that break down water, releasing oxygen. The idea could complement existing oxygen-generating technologies or lead to the development of other catalysts able to synthesize useful resources on Mars.

    “If you think about the challenge of going to Mars, you have to work with local materials,” says Andy Cooper, a chemist at the University of Liverpool, UK. “So I can see the logic behind it.”

    The study, published in Nature Synthesis1, was led by Jun Jiang at the University of Science and Technology of China in Hefei. Jiang and his team used a mobile machine the size of a refrigerator with a robotic arm to analyse five meteorites that had either come from Mars or been collected on Earth but mimicked the Martian surface. The team’s goal was to investigate whether the machine could produce useful catalysts from the material.

    The AI-powered system used acid and alkali to dissolve and separate the material, then analysed the resulting compounds. These then formed the basis of a search of more than 3.7 million formulae for a chemical that could break down water — known to exist as ice at Mars’ poles and under the planet’s surface — a process the team said would have taken a human researcher 2,000 years. The result was an oxygen-evolution reaction catalyst that could release oxygen from water, with the potential for use on a future Mars mission.

    If a catalyst that can produce oxygen from water can be made on Mars, this would remove the need for missions to carry such a catalyst from Earth. Jiang says that for every square metre of Martian material, his group’s system could make nearly 60 grams of oxygen per hour, potentially removing the need for astronauts on future missions to the planet to carry oxygen from Earth to use when they get there. “The robot can work continuously for years,” says Jiang.

    Astrobiologists train an AI to find life on Mars

    • Jonathan O'callaghan
  5. Washington. , 2013. 5. 2013. Comparing hardcopy and softcopy results in the study of the impact of workflow on perceived reproduction quality of fine art images. S Farnand, J Jiang, F Frey. Image Quality and System Performance VIII 7867, 44-52. , 2011. 5.

  6. Digital pathology-based study of cell-and tissue-level morphologic features in serous borderline ovarian tumor and high-grade serous ovarian cancer. J Jiang, B Tekin, R Guo, H Liu, Y Huang, C Wang. Journal of Pathology Informatics 12 (1), 24.

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