Physics-Informed Generative AI Model Offers Faster Materials Discovery

Cornell researchers are demonstrating how artificial intelligence – particularly deep learning and generative modeling – can accelerate the design of new molecules and materials, and even function as an autonomous research assistant.

In a study published April 9 in Advanced Science, researchers explored how to make AI models more efficient and effective in predicting the properties of molecules for everything from drug development to materials design. The team focused on a…