Visualizing nanoparticle surface dynamics and instabilities enabled by deep denoising

• 成果类型: Article
• 署名作者: Crozier, Peter A.; Leibovich, Matan; Haluai, Piyush; Tan, Mai; Thomas, Andrew M.; Vincent, Joshua; Mohan, Sreyas; Morales, Adria Marcos; Kulkarni, Shreyas A.; Matteson, David S.; Wang, Yifan; Fernandez-Granda, Carlos
• 署名单位: Arizona State University; Arizona State University-Tempe; New York University; University of Iowa; New York University; Cornell University
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-9137
• DOI: 10.1126/science.ads2688
• 发表日期: 2025-02-28
• 页码: 949-954
• 关键词: in-situ; carbon-monoxide; diffusion

摘要

Materials functionalities may be associated with atomic-level structural dynamics occurring on the millisecond timescale. However, the capability of electron microscopy to image structures with high spatial resolution and millisecond temporal resolution is often limited by poor signal-to-noise ratios. With an unsupervised deep denoising framework, we observed metal nanoparticle surfaces (platinum nanoparticles on cerium oxide) in a gas environment with time resolutions down to 10 milliseconds at a moderate electron dose. On this timescale, many nanoparticle surfaces continuously transition between ordered and disordered configurations. Stress fields can penetrate below the surface, leading to defect formation and destabilization, thus making the nanoparticle fluxional. Combining this unsupervised denoiser with in situ electron microscopy greatly improves spatiotemporal characterization, opening a new window for the exploration of atomic-level structural dynamics in materials.