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Combinatorial Exploration and Mapping of Phase Transformation in a Ni–Ti–Co Thin Film Library

Naila Al Hasan, Huilong Hou, Tieren Gao, Jonathan D. P. Counsell, Suchismita Sarker, Sigurd Thienhaus, Edward Walton, Peer Decker, Apurva Mehta, Alfred Ludwig, Ichiro Takeuchi

2020ACS Combinatorial Science16 citationsDOIOpen Access PDF

Abstract

Combinatorial synthesis and high-throughput characterization of a Ni–Ti–Co thin film materials library are reported for exploration of reversible martensitic transformation. The library was prepared by magnetron co-sputtering, annealed in vacuum at 500 °C without atmospheric exposure, and evaluated for shape memory behavior as an indicator of transformation. Composition, structure, and transformation behavior of the 177 pads in the library were characterized using high-throughput wavelength dispersive spectroscopy (WDS), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), and four-point probe temperature-dependent resistance (R(T)) measurements. A new, expanded composition space having phase transformation with low thermal hysteresis and Co > 10 at. % is found. Unsupervised machine learning methods of hierarchical clustering were employed to streamline data processing of the large XRD and XPS data sets. Through cluster analysis of XRD data, we identified and mapped the constituent structural phases. Composition–structure–property maps for the ternary system are made to correlate the functional properties to the local microstructure and composition of the Ni–Ti–Co thin film library.

Topics & Concepts

X-ray photoelectron spectroscopyMaterials scienceThin filmSputter depositionTernary operationMicrostructureDiffusionless transformationSpectroscopyPhase (matter)Analytical Chemistry (journal)Chemical engineeringSputteringNanotechnologyComputer scienceMartensiteChemistryMetallurgyPhysicsOrganic chemistryQuantum mechanicsProgramming languageEngineeringShape Memory Alloy TransformationsMachine Learning in Materials ScienceMicrostructure and Mechanical Properties of Steels
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