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

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

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

Author(s) -

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

Publication year - 2020

Publication title -

acs combinatorial science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.928

H-Index - 81

eISSN - 2156-8952

pISSN - 2156-8944

DOI - 10.1021/acscombsci.0c00097

Subject(s) - x ray photoelectron spectroscopy , materials science , thin film , sputter deposition , ternary operation , microstructure , diffusionless transformation , spectroscopy , phase (matter) , analytical chemistry (journal) , chemical engineering , sputtering , nanotechnology , computer science , martensite , chemistry , metallurgy , physics , organic chemistry , quantum mechanics , engineering , programming language

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.

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