Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …

In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …

Characterizing and control the chemical compositions of multi-element particles as single
metal nanoparticles (mNPs) on the surfaces of catalytic metal oxide supports is challenging …

Homogeneous catalysis is typically considered “well-defined” from the standpoint of catalyst
structure unambiguity. In contrast, heterogeneous nanocatalysis often falls into the realm of …

Abstract Machine learning holds significant research potential in the field of nanotechnology,
enabling nanomaterial structure and property predictions, facilitating materials design and …

Investigations of the behavior and effects of engineered nanoparticles (ENPs) on human
health and the environment need detailed knowledge of their fate and transport in …

The β-catechin (CA) mediated synthesized silver nanoparticles (AgNPs) embedded
cellulose (CE)-graphene oxide (GO) nanocomposite (GO-CE-CA-AgNCs) developed for …

The major role of many research studies in nanotechnology is to identify, count, and
measure nanoparticles. Images with particles are often handled by hand, employing a …

Hyaluronic acid (HA) is being actively studied as a drug carrier due to its favorable
properties and functional groups for chemical modification. Despite its high functionality, p K …

This study introduces a novel U-shaped image-segmentation algorithm, CS-UNet, which
contains parallel CNN and Transformer encoders. This algorithm leverages the relative …