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Combinatorial Exploration and Mapping of Phase Transformation in a Ni-Ti-Co Thin Film Library.
ACS Combinatorial Science Pub Date : 2020-08-04 , DOI: 10.1021/acscombsci.0c00097 Naila M Al Hasan 1 , Huilong Hou 1 , Tieren Gao 1 , Jonathan Counsell 2 , Suchismita Sarker 3 , Sigurd Thienhaus 4 , Edward Walton 2 , Peer Decker 4 , Apurva Mehta 3 , Alfred Ludwig 4 , Ichiro Takeuchi 1
ACS Combinatorial Science Pub Date : 2020-08-04 , DOI: 10.1021/acscombsci.0c00097 Naila M Al Hasan 1 , Huilong Hou 1 , Tieren Gao 1 , Jonathan Counsell 2 , Suchismita Sarker 3 , Sigurd Thienhaus 4 , Edward Walton 2 , Peer Decker 4 , Apurva Mehta 3 , Alfred Ludwig 4 , Ichiro Takeuchi 1
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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.
中文翻译：
Ni-Ti-Co 薄膜库中相变的组合探索和映射。
据报道，Ni-Ti-Co 薄膜材料库的组合合成和高通量表征用于探索可逆马氏体转变。该库是通过磁控共溅射制备的，在 500°C 下真空退火，无大气暴露，并评估形状记忆行为作为转变的指标。使用高通量波长色散光谱 (WDS)、X 射线光电子能谱 (XPS)、X 射线衍射 (XRD) 和四点探针温度表征库中 177 个焊盘的组成、结构和转变行为依赖性抗性 ( R ( T）） 测量。具有低热滞后和 Co > 10 at 的相变的新的、扩展的组成空间。% 被发现。采用分层聚类的无监督机器学习方法来简化大型 XRD 和 XPS 数据集的数据处理。通过 XRD 数据的聚类分析，我们识别并绘制了组成结构相。三元系统的成分-结构-性能图用于将功能特性与 Ni-Ti-Co 薄膜库的局部微观结构和成分相关联。
更新日期：2020-08-04
中文翻译：
Ni-Ti-Co 薄膜库中相变的组合探索和映射。
据报道，Ni-Ti-Co 薄膜材料库的组合合成和高通量表征用于探索可逆马氏体转变。该库是通过磁控共溅射制备的，在 500°C 下真空退火，无大气暴露，并评估形状记忆行为作为转变的指标。使用高通量波长色散光谱 (WDS)、X 射线光电子能谱 (XPS)、X 射线衍射 (XRD) 和四点探针温度表征库中 177 个焊盘的组成、结构和转变行为依赖性抗性 ( R ( T）） 测量。具有低热滞后和 Co > 10 at 的相变的新的、扩展的组成空间。% 被发现。采用分层聚类的无监督机器学习方法来简化大型 XRD 和 XPS 数据集的数据处理。通过 XRD 数据的聚类分析，我们识别并绘制了组成结构相。三元系统的成分-结构-性能图用于将功能特性与 Ni-Ti-Co 薄膜库的局部微观结构和成分相关联。
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