Cargando…
MOFSocialNet: Exploiting Metal-Organic Framework Relationships via Social Network Analysis
The number of metal-organic frameworks (MOF) as well as the number of applications of this material are growing rapidly. With the number of characterized compounds exceeding 100,000, manual sorting becomes impossible. At the same time, the increasing computer power and established use of automated m...
Autores principales: | Jalali, Mehrdad, Tsotsalas, Manuel, Wöll, Christof |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880275/ https://www.ncbi.nlm.nih.gov/pubmed/35215032 http://dx.doi.org/10.3390/nano12040704 |
Ejemplares similares
-
MOFGalaxyNet: a social network analysis for predicting guest accessibility in metal–organic frameworks utilizing graph convolutional networks
por: Jalali, Mehrdad, et al.
Publicado: (2023) -
Correction: MOFGalaxyNet: a social network analysis for predicting guest accessibility in metal–organic frameworks utilizing graph convolutional networks
por: Jalali, Mehrdad, et al.
Publicado: (2023) -
Design of Metal-Organic Framework Templated Materials Using High-Throughput Computational Screening
por: Ahmad, Momin, et al.
Publicado: (2020) -
Performance
Fabrics Obtained by In Situ Growth of Metal–Organic
Frameworks in Electrospun Fibers
por: Molco, Maya, et al.
Publicado: (2021) -
Current Trends in Metal–Organic and Covalent Organic Framework Membrane Materials
por: Hosseini Monjezi, Bahram, et al.
Publicado: (2021)