Design and characterization of low Young’s modulus Ti-Zr-Nb-based medium entropy alloys assisted by extreme learning machine for biomedical applications

What is it about?

Medium entropy alloys are considered midway between traditional and high entropy alloys. Consequently, typical design techniques are challenging for developing such alloys. In this study, the extreme learning machine approach was effectively used for the compositional design of Ti-Zr-Nb-Mo medium entropy alloys to obtain low Young’s modulus with moderate strength for biomedical applications. The newly developed alloys exhibited low Young’s modulus as low as 69.5 GPa, with a yield strength of more than 600 MPa. The difference between experimental and simulated results was slight, indicating that neural networks can be used to design medium entropy alloys. Furthermore, the introduced alloys displayed adequate bio characteristics such as decreased magnetic susceptibility and over 98% cell viability. These novel Ti-Zr-Nb-M medium entropy alloys are promising candidates for biomedical implantation because of their superior biomedical properties.

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