  Generative models are a powerful tool in AI for material discovery. We are
designing a software framework that supports a human-AI co-creation process to
accelerate finding replacements for the ``forever chemicals''-- chemicals that
enable our modern lives, but are harmful to the environment and the human
health. Our approach combines AI capabilities with the domain-specific tacit
knowledge of subject matter experts to accelerate the material discovery. Our
co-creation process starts with the interaction between the subject matter
experts and a generative model that can generate new molecule designs. In this
position paper, we discuss our hypothesis that these subject matter experts can
benefit from a more iterative interaction with the generative model, asking for
smaller samples and ``guiding'' the exploration of the discovery space with
their knowledge.
