Nanoparticles are tiny particles, made of only a few hundred atoms, that are helping to create the world’s newest “smart” surfaces and systems. Nanoparticles are playing a key role in the development of such cutting-edge consumer products as transparent sunscreens and stain repellent fabrics. They are also being designed for biomedical applications like drug delivery inside the body.
Sounds like a miracle substance, right? The hurdle is that identifying one in the lab is akin to finding a needle in a haystack. Out of a potential pool of hundreds of thousands of nanoparticles, only a few may actually be viable—meaning they are the right size and will work within a specific temperature range (e.g., body temperature). So how can researchers facilitate the process? Machine learning. Continue Reading