Language : 中文
饶梓元
  • Personal Information

    Discipline: 
    Materialogy
  • Profile

    I am mainly engaged in research and development of materials such as Invar alloys, magnetic alloys, high-temperature alloys, and magnesium alloys based on artificial intelligence and machine learning. I have developed a high-entropy alloy design method that combines machine learning algorithms, theory, and experiments, and have designed high-entropy Invar alloys with near-zero thermal expansion coefficients. I obtained my Ph.D. from RWTH Aachen University in 2021, under the supervision of Professor Dierk Raabe. From 2021 to 2023, I conducted postdoctoral research at the Max Planck Institute for Iron Research in Germany, and from 2023 to 2024, I served as a research group leader at the same institute. In 2024, I joined Shanghai Jiao Tong University as a full-time faculty member. I have led an EU EIC project and have received funding from the National Excellent Youth Fund (Overseas), Shanghai Leading Talent (Overseas), and the National Youth Fund. I have published over 30 SCI papers, including more than 10 as the first or corresponding author in journals such as Science. I am currently an Associate Professor on the tenure track at the School of Materials Science and Engineering, Shanghai Jiao Tong University.

  • Research Field

    [1] 主要从事基于人工智能和机器学习的因瓦合金、磁性合金和高温合金等材料的研究和开发工作。发展了结合机器学习算法、理论和实验的高熵合金设计方法,研发出具有接近于0的热膨胀系数的高熵因瓦合金。
  • Social Affiliations

    [1]   I have long served as an independent reviewer for authoritative SCI journals in the field, such as Nature Communications, Acta Materialia, and Journal of Alloys and Compounds. I am also a guest editor for the SCI journal Metals.
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