ELECTROKINETIC CHARACTERISTICS OF STRUCTURALLY DISORDERED BINARY ALLOY Ni1-xPx

2022;
: pp. 5-9
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University, Ukraine
3
Lviv Polytechnic National University

The paper presents the results of studies of the temperature dependences of the resistivity ρ(T) and the Seebeck coefficient S(T) of binary structurally disordered alloys of the Ni1-xPx system. It was found that at 0.10 < x 0.18. The resistivity ρ increases with x, the temperature coefficient of electrical resistance α decreases and becomes negative, and S also increases and becomes positive near x=0.18. These results agree with the Mooij correlation and the r-S correlation for the studied samples, namely for samples with high resistivity S> 0 and for samples with low resistivity - S <0, which is observed in some non-magnetic structurally disordered alloys. Thus, the Ni1-xPx system covers the range and behavior of electrokinetic characteristics that are characteristic of a few structurally disordered alloys. For x <0.175 dependencies r(T) and S(T) of the studied samples are similar to those observed in ferromagnetic structurally disordered iron-based alloys.

[1] D. Zh. Chen, “Atomic - Level Structure and Deformation in Metallic Glasses”, Dissertation (Ph.D.), California Institute of Technology, 2016. [Online]. Available: doi:10.7907/Z95Q4T2B.

[2] P. Swain, S. K. Srivastava, "Exploring quantum Griffiths phase in Ni1−xVx nanoalloys", Scientific Reports, Vol.7, no.1223, 2017. [Online]. Available: https://www.nature.com/ articles/s41598-017-01423-x
https://doi.org/10.1038/s41598-017-01423-x

[3] Y. F. Ye, Q. Wang, J. Lu, C.T.Liu, Y. Yang, "Highentropy alloy: challenges and prospects", Materials today, Vol.19, Iss.6, pp.349-362, 2016. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S136970211 5004010
https://doi.org/10.1016/j.mattod.2015.11.026

[4] T. Jin, I. Park, T. Park, J. Park, J. H. Shim, "Accelerated crystal structure prediction of multi-elements random alloy using expandable features", Sc. Reports, 2021. [Online]. Available: https://www.nature.com/articles/s41598- 021-84544-8.pdf?proof=t
https://doi.org/10.1038/s41598-021-84544-8

[5] S. G. Davison, K.W. Sulston, Disordered Binary Alloys, in Green-Function Theory of Chemisorption. pp.91-116, Springer, 2006. [Online]. Available: https://link.springer.com/ chapter/10.1007/1-4020-4405-4_6.
https://doi.org/10.1007/1-4020-4405-4_6

[6] E. Belin-Ferré, Basics of Thermodynamics and Phase Transitions in Complex Intermetallics. Université Pierre et Marie Curie, France, 2008. [Online]. Available: https://doi.org/10.1142/6718
https://doi.org/10.1142/6718

[7] N. Wetta, J. C. Pain, "Consistent approach for electrical resistivity within Ziman's theory from solid state to hot dense plasma: Application to aluminum", Phys. Rev. E102,053209, 2020. [Online]. Available: https://journals.aps.org/pre/abstract/ 10.1103/PhysRevE.102.053209
https://doi.org/10.1103/PhysRevE.102.053209

[8] N. S. Punn, S. K. Sonbhadram, S. Agarwal, “COVID-19 Epidemic Analysis using Machine Learning and Deep Learning”, 2020. [Online]. Available: https://www.medrxiv.org/content/medrxiv/early/2020/04/11/20 20.04.08.20057679.full.pdf