Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.
Explore these studies to deepen your understanding of the subject.
A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture
H. Park, X. Yan, et al.
Electrodeposition of porous metal-organic frameworks for efficient charge storage
D. B. Bailmare, B. V. Malozyomov, et al.
Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors
I. B. Orhan, T. C. Le, et al.
ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models
Y. Kang and J. Kim
