西安交大发表最新Nature论文

Core Viewpoint - The research published in Nature highlights the design of a new ductile FeNiCoAlTa alloy with unprecedented strength and plasticity, achieved through machine learning techniques, setting a new record for yield strength and tensile ductility in alloys [2][4]. Group 1: Research Findings - The alloy composition is Fe 35 Ni 29 Co 21 Al 12 Ta 3, which demonstrates a remarkable combination of 1.8 GPa yield strength and 25% true uniform elongation [4]. - The study emphasizes the use of machine learning models based on domain knowledge to design multi-principal element alloys, achieving high strength and high ductility [4]. Group 2: Microstructural Innovations - The research team enhanced the alloy's strength by maximizing microstructural heterogeneity, featuring large coherent L1 2 nano-precipitates and incoherent B2 micro-particles [6]. - The B2 micro-particles contribute to a multi-component structure that can accumulate dislocations, thereby maintaining a high strain hardening rate and extending uniform elongation [6].