Rapid Construction of Fe–Co–Ni Composition-Phase Map by Combinatorial Materials Chip Approach

Xing, Hui; Zhao, Bingbing; Wang, Yujie; Zhang, Xiaoyi; Ren, Yang; Yan, Ningning; Gao, Tieren; Li, Jindong; Zhang, Lanting; Wang, Hong

doi:10.1021/acscombsci.7b00171

Cited by 47 publications

(21 citation statements)

References 20 publications

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“…1a, the combinatorial thin-film precursor covering the entire composition range of Ti–Ni–Cu ternary system, were deposited following a procedure described by Xing et al . 33 on quartz glass substrates (25.4 mm × 25.4 mm × 2 mm) using a custom-designed high-throughput combinatorial ion beam deposition system (HTC-IBD) at room temperature with a base vacuum pressure of 1 × 10 −6 torr. The ternary thin-film precursor consisted of a sequentially deposited stack of wedge-shaped layers, that were created by a mask moving linearly across the substrate during deposition.…”

Section: Resultsmentioning

confidence: 99%

High-throughput investigation of crystal-to-glass transformation of Ti–Ni–Cu ternary alloy

Hui

et al. 2019

Sci Rep

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A high-throughput investigation of metallic glass formation via solid-state reaction was reported in this paper. Combinatorial multilayered thin-film chips covering the entire Ti–Ni–Cu ternary system were prepared using ion beam sputtering technique. Microbeam synchrotron X-ray diffraction (XRD) and X-ray fluorescence (XRF) measurements were conducted, with 1,325 data points collected from each chip, to map out the composition and the phase constitution before and after annealing at 373 K for 110 hours. The composition dependence of the crystal-to-glass transition by solid-state reaction was surveyed using this approach. The resulting composition–phase map is consistent with previously reported results. Time-of-flight secondary ion mass spectroscopy (ToF-SIMS) was performed on the representative compositions to determine the inter-diffusion between layers, the result shows that the diffusion of Ti is the key factor for the crystal-to-glass transition. In addition, both layer thickness and layer sequence play important roles as well. This work demonstrates that combinatorial chip technique is an efficient way for systematic and rapid study of crystal-to-glass transition for multi-component alloy systems.

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Section: Resultsmentioning

confidence: 99%

High-throughput investigation of crystal-to-glass transformation of Ti–Ni–Cu ternary alloy

Hui

et al. 2019

Sci Rep

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“…The literature proposes various approaches to fabricate combinatorial coatings, most of them being suitable only to a limited class of compounds. Among these, we can mention several physicalchemical deposition methods such as magnetron co-sputtering deposition [141], glancing angle deposition [142], co-electrodeposition [143], casting processes [144], or flow-coating methods [145]. An advanced experimental design could be envisioned in order to generate multi-compositional diagram 2D maps on high surface areas.…”

Section: Combinatorial Laser Technologiesmentioning

confidence: 99%

Biomimetic Coatings Obtained by Combinatorial Laser Technologies

Axente

Sima

2020

Coatings

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The modification of implant devices with biocompatible coatings has become necessary as a consequence of premature loosening of prosthesis. This is caused mainly by chronic inflammation or allergies that are triggered by implant wear, production of abrasion particles, and/or release of metallic ions from the implantable device surface. Specific to the implant tissue destination, it could require coatings with specific features in order to provide optimal osseointegration. Pulsed laser deposition (PLD) became a well-known physical vapor deposition technology that has been successfully applied to a large variety of biocompatible inorganic coatings for biomedical prosthetic applications. Matrix assisted pulsed laser evaporation (MAPLE) is a PLD-derived technology used for depositions of thin organic material coatings. In an attempt to surpass solvent related difficulties, when different solvents are used for blending various organic materials, combinatorial MAPLE was proposed to grow thin hybrid coatings, assembled in a gradient of composition. We review herein the evolution of the laser technological process and capabilities of growing thin bio-coatings with emphasis on blended or multilayered biomimetic combinations. These can be used either as implant surfaces with enhanced bioactivity for accelerating orthopedic integration and tissue regeneration or combinatorial bio-platforms for cancer research.

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“…The technique used in this work provides the capability of measuring more than 5000 samples per day using a synchrotron x-ray diffraction and fluorescence for rapid characterization. Xing et al recently pushed the efficiency and automation even further [70]. The rate of recording diffraction images reached one pattern per second and the diffraction patterns were automatically processed to create the composition-phase map.…”

Section: Composition and Structurementioning

confidence: 99%

Recent advances in high-throughput superconductivity research

Yuan¹,

Stanev²,

Chen³

et al. 2019

Supercond. Sci. Technol.

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Superconducting materials find applications in a rapidly growing number of technological areas, and searching for novel superconductors continues to be a major scientific task. However, the steady increase in the complexity of candidate materials presents a big challenge to the researchers in the field. In particular, conventional experimental methods are not well suited to efficiently search for candidates in compositional space exponentially growing with the number of elements; neither do they permit quick extraction of reliable multidimensional phase diagrams delineating the physical parameters that control superconductivity. New research paradigms that can boost the speed and the efficiency of superconducting materials research are urgently needed. High-throughput methods for rapid screening and optimization of materials have demonstrated their utility for accelerating research in bioinformatics and pharmaceutical industry, yet remain rare in quantum materials research. In this paper, we will briefly review the history of high-throughput research paradigm and then focus on some recent applications of this paradigm in superconductivity research. We consider the role these methods can play in all stages of materials development, including high-throughput computation, synthesis, characterization, and the emerging field of machine learning for materials. The high-throughput paradigm will undoubtedly become an indispensable tool of superconductivity research in the near future.

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Rapid Construction of Fe–Co–Ni Composition-Phase Map by Combinatorial Materials Chip Approach

Cited by 47 publications

References 20 publications

High-throughput investigation of crystal-to-glass transformation of Ti–Ni–Cu ternary alloy

High-throughput investigation of crystal-to-glass transformation of Ti–Ni–Cu ternary alloy

Biomimetic Coatings Obtained by Combinatorial Laser Technologies

Recent advances in high-throughput superconductivity research

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