The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations.

The nanoplastics in question come from common types of plastics such as polyethylene, polypropylene, polystyrene and nylon.

Unveiling the initial degradation mechanism at the nanoscale for the first time using advanced transmission electron ...

(Nanowerk News) Researchers have developed a highly sensitive detector for identifying molecules via their infrared ...

Metamaterials, with unique properties, now feature a design enabling distant component interactions, enhancing their ...

Laser light casting a shadow was previously thought impossible since light usually passes through other light without ...

This novel solar-driven sponge produces 3.47 kg of water per kg daily from arid air while generating electricity, offering ...

Researchers have developed an elegant and sustainable way to clean up waterways: reusing one waste product to remove another.

Researchers are using functionalized nanodiamonds to precisely monitor neuronal activity at the cellular level, enhancing ...

Quantum entanglement, vital for quantum tech like secure communication, is now efficiently created between photons and ...

Researchers use nanowire-based miRNA extraction and machine learning (ML) analysis to detect cancer-associated miRNAs in ...

Pores in a chemical's molecular structure may appear only with certain conditions or guest molecules, impacting industrial ...