The acceleration in design of new metal organic frameworks (MOFs) has led scientists to
focus on high-throughput computational screening (HTCS) methods to quickly assess the …

The field of machine learning is comprised of techniques, which have proven powerful
approaches to knowledge discovery and construction of 'digital twins' in the highly …

Materials at the nanoscale exhibit specific physicochemical interactions with their
environment. Therefore, evaluating their toxic potential is a primary requirement for …

This roadmap outlines the potential roles of metallic nanoparticles (MNPs) in the field of
radiation therapy. MNPs made up of a wide range of materials (from Titanium, Z= 22, to …

In this topical review, we will explore and challenge how artificial intelligence (AI) and
mathematical modeling apply towards the future in medical applications, focusing on their …

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

Nanotechnology has enabled the discovery of a multitude of novel materials exhibiting
unique physicochemical (PChem) properties compared to their bulk analogues. These …

Background Salmonellosis and campylobacteriosis are among the most frequently reported
foodborne diseases worldwide. Commercial chicken meat has been identified as one of the …

Nanotechnology is a branch of science and technology that comes with lots of industrial
applications and potential benefits to the society. But the risk associated with the …

Estimation of the effectiveness of Au nanoparticles concentration in peristaltic flow through a
curved channel by using a data driven stochastic numerical paradigm based on artificial …