Electron microscopy dataset for the recognition of nanoscale ordering effects and location of nanoparticles

Abstract

A unique ordering effect has been observed in functional catalytic nanoscale materials. Instead of randomly arranged binding to the catalyst surface, metal nanoparticles show spatially ordered behavior resulting in formation of geometrical patterns. Understanding of such nanoscale materials and analysis of corresponding microscopy images will never be comprehensive without appropriate reference datasets. Here we describe the first dataset of electron microscopy images comprising individual nanoparticles which undergo ordering on a surface towards the formation of geometrical patterns. The dataset developed in this study spans three levels of nanoscale organization: (i) individual nanoparticles (1-5 nm) and arrays of nanoparticles (5-20 nm), (ii) ordering effects (20-200 nm) and (iii) complex patterns (from nm to μm scales). The described dataset for the first time provides a possibility for the development of machine learning algorithms to study the unique phenomena of nanoparticles ordering and hierarchical organization.

Toward Totally Defined Nanocatalysis: Deep Learning Reveals the Extraordinary Activity of Single Pd/C Particles

“…In the 1 wt % Pd on GR, the nanoparticles were larger and had a broader size distribution with a mean of 5.2 ± 0.5 nm; their scattering was even, although it clearly followed the domain-like structure described previously. 45,50 By contrast, 10 wt % Pd on GR represented an assortment of sizes and shapes with significantly larger aggregates and highly developed surfaces. Surprisingly, the large metal agglomerates in 10 wt % Pd on GR consisted of relatively uniform nanoparticles with a narrower distribution than 1 wt % Pd on GR.…”

Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials

“… 43–47 Recently, an electron microscopy dataset with a thousand images was created to visualize defect areas marked with metal nanoparticles. 48 …”

“…The experimental procedure applied here was previously proven to generate a large dataset of images with nanoparticle ordering patterns. 48 The procedure included heating the mixture of easily available metal complex Pd 2 dba 3 and carbon material in CHCl 3 at 80 °C in a screw-capped tube for 1–5 minutes. During heating, the complex is decomposed, leading to the disappearance of the pink color of the solution.…”

“… 37,49–51 In the present article, we also performed an analysis of microscopy images published previously. 48 …”

“…A previously published dataset 48 with 750 images with a particle ordering effect and 250 images without an ordering effect was used. SEM images are in the TIFF format with 1280 × 890 resolution.…”