Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Researchers have long sought to model how carbon atoms interact with metal surfaces to form graphene and other carbon materials. Developing this capability would elucidate the growth mechanisms of ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

(Nanowerk News) Carbon nanostructures could become easier to design and synthesize thanks to a machine learning method that predicts how they grow on metal surfaces. The new approach, developed by ...