Generative Modeling for Chemistry Discovery

Submissions are now open for this Collection on Generative Modeling for Chemistry Discovery.

We invite original research that advances generative methods for molecular and materials design, including algorithmic innovations, integration with simulations or experiments, and real-world applications in drug discovery, catalysis, and energy materials. Kindly share this announcement with interested colleagues or relevant research groups who may wish to contribute.

Submission Link:  https://www.nature.com/collections/acbdjacihj
Submission Deadline: 21st October 2026