Fig. 3: Experimental confirmation by combinatorial XRD, MOKE, and SQUID experiments.
From: Machine learning autonomous identification of magnetic alloys beyond the Slater-Pauling limit
a Illustration of combinatorial sputtering system with an automated moving mask for synthesizing FexCoyIr100-x-y, FexCoyPt100-x-y, and FexCoyNi100-x-y composition-spread thin films on SiO2/Si substrates. b Composition map of FexCoyIr100-x-y composition-spread thin film, where the Ir composition gradient is along the X direction, and Fe and Co composition gradients are along opposite Y directions. The black spots denote sampling points of the combi-MOKE experiments. c Results of combi-XRD experiments with FexCoyIr100-x-y composition-spread sample. d XRD curve of Fe68.1Co26.2Ir5.7 (bottom right point in Fig. 3b) e Results of combi-MOKE experiments with FexCoyIr100-x-y composition-spread sample. f MOKE curves of Fe68.1Co26.2Ir5.7 (bottom right point in Fig. 3b). g–i Composition maps of FexCoyIr100-x-y, FexCoyPt100-x-y, and FexCoyNi100-x-y composition-spread thin films, respectively. j–l Mapping of amplitude of MOKE curves MMOKE (∝ saturation magnetization Ms) of the FexCoyIr100-x-y, FexCoyPt100-x-y, and FexCoyNi100-x-y composition-spread thin films, respectively. Small amounts of Ir and Pt impurities enhance the MMOKE, while Ni impurity monotonically decreases the MMOKE. m MMOKE plots of (Fe75.2Co24.8)1-xIrx, (Fe75.3Co24.7)1-xPtx, and (Fe71.1Co28.9)1-xNix along dotted arrows in Fig. 3h–j, respectively. The dark-blue solid line and blue dotted line show theoretical MMOKE values of pure Fe and Fe75Co25, respectively. n, o Magnetization curves obtained in SQUID experiments with Fe73.2Co24.2Ir2.6, Fe84.0Co12.0Pt4.0, Fe75.2Co24.8, and pure Fe at room temperature (T = 300 K) and low temperature (T = 5 K). The magnetization enhancement due to Ir and Pt impurities were also observed in the SQUID experiments.
