LATIDIA · Investigación

La IA ayuda a diseñar nuevos materiales que funcionan en el mundo real

La herramienta "CrysVCD" desarrollada en el MIT podría reducir la enorme cantidad de tiempo y dinero gastado en la selección de diseños químicamente inestables.

La noticia

Today, anyone with a large enough artificial intelligence model can generate millions of new material designs in minutes. Unfortunately, that hasn’t led to a huge leap in the number of new materials being used to improve the performance of products like computer chips and rockets. One reason for the translation gap is that current models don’t reliably factor in the chemical stability of the materials they generate, and unstable materials aren’t very useful in the real world. That forces industries to allocate huge computational budgets to screening out all the unstable materials they generate, in some cases leaving behind a tiny fraction of usable options. Now, MIT researchers have developed