Researchers harness large language models to accelerate materials discovery

Princeton researchers have created an artificial intelligence (AI) tool to predict the behavior of crystalline materials, a key step in advancing technologies such as batteries and semiconductors. Although computer simulations are commonly used in crystal design, the new method relies on a large language model, similar to those that power text generators like ChatGPT.

artificial artificial intelligence batteries behavior computer computer sciences design discovery harness intelligence key language language model language models large language large language model large language models materials power researchers semiconductors simulations technologies text tool