Yasir Sohail, a Pakistani doctoral candidate at Xi’an Jiaotong University (XJTU), has made a groundbreaking achievement in material science by developing an innovative FeNiCoAlTa alloy that combines ultrahigh strength with exceptional ductility, setting a record in mechanical property combinations. The research, published as a first-author paper in the journal Nature, one of the world’s top three multidisciplinary scientific journals, under the title “Machine-learning design of ductile FeNiCoAlTa alloys with high strength”, addresses one of material science’s most persistent challenges: creating alloys that simultaneously achieve high yield strength and uniform elongation substantially exceeding 10%, Gwadar Pro reported on Wednesday. Under the guidance of Prof Zhang Jinyu at XJTU’s School of Materials Science and Engineering, Sohail’s work demonstrates how machine learning can accelerate the design of next-generation structural materials. The 2022 PhD candidate, who is academically ranked first among international students in his doctoral program and has three high-impact publications to his name, credits China’s robust scientific infrastructure and supportive academic environment for enabling this breakthrough.