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

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

doi:10.1021/acscombsci.0c00097

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

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

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.

Original language	English
Pages (from-to)	641-648
Number of pages	8
Journal	ACS Combinatorial Science
Volume	22
Issue number	11
DOIs	https://doi.org/10.1021/acscombsci.0c00097
State	Published - 9 Nov 2020
Externally published	Yes

Keywords

Ni-Ti-Co
cluster analysis
elastocaloric cooling
machine learning
property mapping
shape memory alloys

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10.1021/acscombsci.0c00097

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title = "Combinatorial Exploration and Mapping of Phase Transformation in a Ni-Ti-Co Thin Film Library",

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.",

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author = "\{Al Hasan\}, \{Naila M.\} and Huilong Hou and Tieren Gao and Jonathan Counsell and Suchismita Sarker and Sigurd Thienhaus and Edward Walton and Peer Decker and Apurva Mehta and Alfred Ludwig and Ichiro Takeuchi",

year = "2020",

month = nov,

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doi = "10.1021/acscombsci.0c00097",

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T1 - Combinatorial Exploration and Mapping of Phase Transformation in a Ni-Ti-Co Thin Film Library

AU - Al Hasan, Naila M.

AU - Hou, Huilong

AU - Gao, Tieren

AU - Counsell, Jonathan

AU - Sarker, Suchismita

AU - Thienhaus, Sigurd

AU - Walton, Edward

AU - Decker, Peer

AU - Mehta, Apurva

AU - Ludwig, Alfred

AU - Takeuchi, Ichiro

PY - 2020/11/9

Y1 - 2020/11/9

N2 - 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.

AB - 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.

KW - Ni-Ti-Co

KW - cluster analysis

KW - elastocaloric cooling

KW - machine learning

KW - property mapping

KW - shape memory alloys

UR - https://www.scopus.com/pages/publications/85095861068

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DO - 10.1021/acscombsci.0c00097

M3 - 文章

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AN - SCOPUS:85095861068

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JO - ACS Combinatorial Science

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IS - 11

ER -

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

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Keywords

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