Zhao Li

Separation of Aromatic Hydrocarbons in Porous Materials.

O. Farha, R. Snurr, Timur Islamoglu, 2022, Journal of the American Chemical Society.

Fingerprinting diverse nanoporous materials for optimal hydrogen storage conditions using meta-learning

M. Hartmann, D. Sholl, R. Snurr, 2021, Science Advances.

MOFX-DB: An Online Database of Computational Adsorption Data for Nanoporous Materials

Benjamin J. Bucior, R. Snurr, D. Siderius, 2022, Journal of Chemical & Engineering Data.

Two-Dimensional Energy Histograms as Features for Machine Learning to Predict Adsorption in Diverse Nanoporous Materials.

Dylan M. Anstine, D. Sholl, R. Snurr, 2023, Journal of chemical theory and computation.

Machine learning using host/guest energy histograms to predict adsorption in metal-organic frameworks: Application to short alkanes and Xe/Kr mixtures.

Benjamin J. Bucior, R. Snurr, M. Haranczyk, 2021, The Journal of chemical physics.

Engineering Metal-Organic Frameworks for Selective Separation of Hexane Isomers Using 3-Dimensional Linkers.

O. Farha, R. Snurr, Timur Islamoglu, 2023, Journal of the American Chemical Society.

Computational investigation of hysteresis and phase equilibria of n-alkanes in a metal-organic framework with both micropores and mesopores

R. Snurr, Zhao Li, Jake Turner, 2023, Communications chemistry.