Worldwide nanotechnology development and application have fueled many scientific
advances, but technophilic expectations and technophobic demands must be …

Advances in machine learning have impacted myriad areas of materials science, such as
the discovery of novel materials and the improvement of molecular simulations, with likely …

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 …

Nanoplastics are ubiquitous in ecosystems and impact planetary health. However, our
current understanding on the impacts of nanoplastics upon terrestrial plants is fragmented …

Graph neural networks are able to solve certain drug discovery tasks such as molecular
property prediction and de novo molecule generation. However, these models are …

Robotics and automation provide potentially paradigm shifting improvements in the way
materials are synthesized and characterized, generating large, complex data sets that are …

Engineered nanomaterials (ENMs) have huge potential for improving use efficiency of
agrochemicals, crop production, and soil health; however, the behavior and fate of ENMs …

Sustainable development is a key challenge for contemporary human societies; failure to
achieve sustainability could threaten human survival. In this review article, we illustrate how …

Machine learning (ML) has experienced rapid development in recent years and been widely
applied to assist studies in various research areas. Two-dimensional (2D) materials, due to …

Microscale flow synthesis is a versatile technology for accelerated materials development
and rapid process-structure-property mapping of solution-processed materials. Lead (Pb) …