Design topological materials by reinforcement fine-tuned generative model (opens in new tab)

Topological insulators and topological crystalline insulators are characterized by robust surface states and insulating bulk behavior, rendering them highly valuable for quantum computing, spintronics, and other emerging technologies. However, the discovery of such materials—particularly those with a full band gap—remains challenging, primarily due to the limitations of conventional approaches that rely on the screening of known materials. Here, we employ reinforcement fine-tuning on a pre-tr...