ARC–MOF: A Diverse Database of Metal-Organic Frameworks with DFT
Por um escritor misterioso
Last updated 11 maio 2024
Nanoengineering Metal–Organic Frameworks and Derivatives for Electrosynthesis of Ammonia
ARC–MOF: A Diverse Database of Metal-Organic Frameworks with DFT-Derived Partial Atomic Charges and
ARC–MOF: A Diverse Database of Metal-Organic Frameworks with DFT-Derived Partial Atomic Charges and Descriptors for Machine Learning
Number of structures containing two or more types of arti
PDF) Inverse design of metal-organic frameworks for direct air capture of CO2 via deep reinforcement learning
A database of ultrastable MOFs reassembled from stable fragments with machine learning models - ScienceDirect
Integrating stability metrics with high-throughput computational screening of metal–organic frameworks for CO2 capture
PDF) Inverse design of metal-organic frameworks for direct air capture of CO2 via deep reinforcement learning
Acoustomicrofluidic assembly of oriented and simultaneously activated metal–organic frameworks
Diversifying Databases of Metal Organic Frameworks for High-Throughput Computational Screening
Expanding Linker Dimensionality in Metal‐organic Frameworks for sub‐Ångstrom Pore Control for Separation Applications - Macreadie - 2023 - Angewandte Chemie - Wiley Online Library
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