Researchers are exploring the use of deep reinforcement learning for microstructural optimization, with applications including silica aerogels. Another area of focus is the optimization of elastic properties, potentially extending beyond cubic crystal systems, such as those of titanium. The technology involves an ai-driven framework for these optimizations.