Oxidation Driven Thin-Film Solid-State Metal Dealloying Forming Bicontinuous Nanostructures

ADVANCED MATERIALS INTERFACES(2023)

引用 0|浏览9
暂无评分
摘要
Solid-state metal dealloying (SSMD) is a promising method for fabricating nanoscale metallic composites and nanoporous metals across a range of materials. Thin-film SSMD is particularly attractive due to its ability to create fine features via solid-state interfacial reactions within a thin-film geometry, which can be integrated into devices for various applications. This work examines a new dealloying couple, namely the Nb-Al alloy with the dealloying agent Sc, as previously predicted in the machine-learning (ML) models. Prior ML predictions aimed to guide the design of nanoarchitectured materials through dealloying, relying on intuition-driven discovery within a large parameter space. However, this work reveals that at the nanoscale, the involvement of oxygen in thin film processing may instead drive the dealloying process, resulting in the formation of bicontinuous nanostructures similar to those formed by metal-agent dealloying. The phase evolution, as well as chemical and morphological changes, are closely analyzed using a combination of X-ray absorption spectroscopy, diffraction, and scanning transmission electron microscopy to understand the mechanisms behind nanostructure formation. The findings suggest a potential pathway for utilizing oxygen to drive the formation of bicontinuous metal-metal oxide nanocomposites, paving the way for further development of functional nanoporous materials in diverse fields. Solid-state metal dealloying in thin-film form shows potential for producing nanocomposite and nanoporous metals, enabling the application in diverse devices. This study explores the utilization of a novel material combination, Nb-Al alloy with Sc, predicted through machine learning models. The involvement of oxygen facilitates the development of distinctive bicontinuous nanostructures, offering prospects for designing future functional materials.image
更多
查看译文
关键词
machine‐learning,metal dealloying,nanocomposites,SSID,synchrotron
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要