Plasmonic nanomaterials have outstanding optoelectronic properties potentially enabling
the next generation of catalysts, sensors, lasers and photothermal devices. Owing to optical …

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 …

The rapid development of nanomaterials (NMs) and the emergence of new multicomponent
NMs will inevitably lead to simultaneous exposure of organisms to multiple engineered …

Engineered nanomaterials (ENMs) enable new and enhanced products and devices in
which matter can be controlled at a near-atomic scale (in the range of 1 to 100 nm) …

The novel quantitative read-across structure–activity relationship (q-RASAR) approach uses
read-across-derived similarity functions in the quantitative structure–activity relationship …

Recently, the concept of quantitative Read-Across Structure-Activity Relationship (q-RASAR)
has been introduced by using various Machine Learning (ML)-derived similarity functions in …

Nanomaterials (NMs) have developed quickly and cover various fields, but research on
nanotechnology and NMs largely relies on costly experiments or complex calculations (eg …

The availability of experimental nanotoxicity data is in general limited which warrants both
the use of in silico methods for data gap filling and exploring novel methods for effective …

This article aims to provide a comprehensive critical, yet readable, review of general interest
to the chemistry community on molecular similarity as applied to chemical informatics and …

Microfluidic approaches to nanomaterial synthesis provide an effective means of making
high quality products, with exquisite control over electronic, optical, and structural properties …