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Desymmetrization Strategy to Achieve Triptycene-Based 3,6-Dimethoxytriphenyle...
To achieve a highly symmetric triptycene based hexamethoxytriphenylene in high yield of 97 %, a less symmetric triptycene (C3v) is necessary as precursor for... -
Data publication: Core-shell structured MCM-48-type silica-polymer hybrid mat...
In the current study, a core-shell structured material of MCM-48-type mesoporous silica nanoparticles (MSNs) and cross-linked poly(N-isopropylacrylamide) homopolymer and its... -
Desymmetrization Strategy to Achieve Triptycene-Based 3,6-Dimethoxytriphenyle...
To achieve a highly symmetric triptycene based hexamethoxytriphenylene in high yield of 97 %, a less symmetric triptycene (C3v) is necessary as precursor for... -
In Situ High Pressure NMR study of the Direct Synthesis of NaAlH4
NaAlH4 has been a model system for metal hydride hydrogen storage materials since the reaction was identified to be reversible. The decomposition pathway has been described by a... -
Structures of New Niobates Prepared by Hydrothermal Synthesis
We have prepared some new highly crystalline mixed-metals oxides using mild hydrothermal reaction conditions. Some of these are doped niobates, related to the important... -
Synthesis of Metal-Organic Frameworks: capturing chemical intuition
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... -
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... -
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... -
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... -
Data publication: Discovery, nuclear properties, synthesis and applications o...
This article is a review paper, it is not based in experimental data
