Using Machine Learning to Understand the Billion Possible Forms of Graphene
Researchers at the University of California, San Diego have developed a new machine learning approach that could potentially create a molecule with more than a billion layers of graphene. This new method could revolutionize the way we create materials and products, resulting in more efficient and cost effective production. The research is based on an algorithm that can accurately predict the properties of a new material after only a few experiments. This could be an incredibly powerful tool for scientists and engineers, allowing them to quickly explore complex materials and their potential applications. With this technology, researchers could create materials that could be used in a variety of applications, including energy storage, electronics, and more.
source: Phys.org