Title: Thin film combinatorial studies of hard magnetic materials
Prof. Nora Dempsey (Institut NEEL, CNRS, Grenoble, France)
Abstract:
"Combinatorial studies based on the preparation and characterization of compositionally graded thin films are being used for the screening and optimization of a range of functional materials [1]. When combined with Machine Learning (ML), such high-throughput film-based studies hold much potential to guide data driven design of new materials [2,3]. In this talk I will present our thin film combinatorial studies of hard magnetic materials. By way of introduction to the high throughput fabrication and characterization techniques we use, I will begin by presenting a study of compositionally graded Fe-Pt films [4]. I will then present on-going studies of the effect of element substitution and annealing conditions on both structural and magnetic properties of compositionally graded RE-TM films based on the 2-14-1 and 1-5 high anisotropy phases. I will finish up by briefly outlining the potential of combining high throughput experimentation and ML-driven data analysis for the accelerated development of functional magnetic materials with reduced dependence on critical elements [5].
References
[1] ML Green et al., J. Appl. Phys. 113 (2013) 231101
[2] A.G. Kusne et al. Sci. Rep. 4 (2014) 6367
[3] A. Ludwig, npj Comput. Mater. 5 (2019) 70
[4] Y. Hong et al., J. Mater. Res. Technol. 18 (2022) 1245
[5] Kovacs et al., Front. Mater. 9 (2023) 1094055"
Date & Time: 10:30 - 11:30, November 15th (Fri), 2024.
Place: 2nd Conference Room, 1F, Main Bldg., Sengen site.
Address: 1-2-1 Sengen, Tsukuba, Ibaraki, 305-0047 JAPAN
(Contact)
H. Sepehri-Amin, Green Magnetic Materials Group
E-mail: H.SEPEHRIAMIN[at]nims.go.jp