ARC–MOF: A Diverse Database of Metal-Organic Frameworks with DFT
Por um escritor misterioso
Descrição
Molecules, Free Full-Text
ARC–MOF: A Diverse Database of Metal-Organic Frameworks with DFT-Derived Partial Atomic Charges and Descriptors for Machine Learning
Expanding Linker Dimensionality in Metal‐organic Frameworks for sub‐Ångstrom Pore Control for Separation Applications - Macreadie - 2023 - Angewandte Chemie International Edition - Wiley Online Library
Leveraging Machine Learning for Metal–Organic Frameworks: A Perspective
Towards modeling spatiotemporal processes in metal–organic frameworks: Trends in Chemistry
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 International Edition - Wiley Online Library
Integrating stability metrics with high-throughput computational screening of metal–organic frameworks for CO2 capture
Leveraging Machine Learning for Metal–Organic Frameworks: A Perspective
PDF) Inverse design of metal-organic frameworks for direct air capture of CO2 via deep reinforcement learning
Analyzing of metal organic frameworks performance in CH4 adsorption using machine learning techniques: A GBRT model based on small training dataset - ScienceDirect
Nanoengineering Metal–Organic Frameworks and Derivatives for Electrosynthesis of Ammonia
de
por adulto (o preço varia de acordo com o tamanho do grupo)