Aditya Malik, Nalini Ratha, et al.
CAI 2024
Generative models are a powerful tool in AI for material discovery. We are designing a solution that supports a human-AI co-creation process to accelerate finding replacements for the forever chemicals'' that considers the domain-specific tacit knowledge of subject matter experts. The first step in this process involves 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.
Aditya Malik, Nalini Ratha, et al.
CAI 2024
Leonid Karlinsky, Joseph Shtok, et al.
CVPR 2019
Adriana Alvarado Garcia, Marisol Wong-Villacres, et al.
CHI 2023
Alberta A. Ansah, Adriana S. Vivacqua, et al.
CHI 2023