Developing new molecular compounds is crucial to address pressing challenges, from drug discovery to sustainable materials. However, discovering viable new molecules is challenging due to the vastness of the search space. In a new paper published in Nature Machine Intelligence titled, “A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules,” researchers from Universitat Rovira i Virgili (URV) have …