Li, Z.

Authored

(248c) Installing 3-Dimensional Linkers to Fine Tune the Pore Size of Metal–Organic Frameworks for Efficient Gas Separations
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(572c) Mofdb: An Accessible Online Database of Computational Adsorption Data for Nanoporous Materials
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(383c) Capillary Condensation and Hysteresis in Nanoporous Materials: New Simulations and New Insights
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(178g) Combining Molecular Simulation and Machine Learning to Find Optimal Conditions for Hydrogen Storage and Hydrogen/Nitrogen/Ammonia Separation
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(192c) Two-Dimensional Energy Histograms As Features for Machine Learning to Predict Adsorption in Metal-Organic Frameworks
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(539a) Molecular Simulation of Adsorption Hysteresis of n-Alkanes in Nanoporous Materials
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(346au) Machine Learning Using the Guest/Host Energy Histogram to Predict the Adsorption of Chain Molecules
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)
(86a) Advanced Monte Carlo Techniques for Simulating Xylene Isomer Separations in One-Dimensional Metal-Organic Frameworks
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

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