Cargando…
Capturing chemical intuition in synthesis of metal-organic frameworks
We report a methodology using machine learning to capture chemical intuition from a set of (partially) failed attempts to synthesize a metal-organic framework. We define chemical intuition as the collection of unwritten guidelines used by synthetic chemists to find the right synthesis conditions. As...
Autores principales: | Moosavi, Seyed Mohamad, Chidambaram, Arunraj, Talirz, Leopold, Haranczyk, Maciej, Stylianou, Kyriakos C., Smit, Berend |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358622/ https://www.ncbi.nlm.nih.gov/pubmed/30710082 http://dx.doi.org/10.1038/s41467-019-08483-9 |
Ejemplares similares
-
Rational Design of a Low-Cost, High-Performance Metal–Organic
Framework for Hydrogen Storage and Carbon Capture
por: Witman, Matthew, et al.
Publicado: (2016) -
Biporous
Metal–Organic Framework with Tunable
CO(2)/CH(4) Separation Performance Facilitated by
Intrinsic Flexibility
por: Gładysiak, Andrzej, et al.
Publicado: (2018) -
Improving the Mechanical Stability of Metal–Organic
Frameworks Using Chemical Caryatids
por: Moosavi, Seyed Mohamad, et al.
Publicado: (2018) -
Building a Consistent and Reproducible Database for Adsorption Evaluation in
Covalent–Organic Frameworks
por: Ongari, Daniele, et al.
Publicado: (2019) -
Force-Field Prediction of Materials Properties in
Metal-Organic Frameworks
por: Boyd, Peter G., et al.
Publicado: (2016)