Negative cooperativity upon hydrogen bond-stabilized O2 adsorption in a redox-active metal–organic framework
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Thermal decomposition of an iron-based MOF was conducted under controlled gas environments and analyzed via neutron total scattering to understand the resulting porous carbon structure.
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A novel MOF UiO-68-Fe-bpy was constructed by post-synthetic modification of a Zr( iv )-based MOF UiO-68-NH 2 as a photocatalyst for CO 2 reduction.
J-dimer emission is an emergent property that occurs when pairs of ground-state fluorophores associate within multivariate MOFs producing tunable red shifted emission.
An in-depth investigation of the CO 2 adsorption kinetics of a promising class of cooperative carbon capture materials offers new insight into their structure-performance properties.
We report a general method for the synthesis of free-standing, self-assembled MOF monolayers (SAMMs) at an air–water interface using polymer-brush coated MOF nanoparticles.
Colour is at the core of chemistry and has been fascinating humans since ancient times. It is also a key descriptor of optoelectronic properties of materials and is often used to assess the success of a synthesis. However, predicting the colour of a material based on its structure is challenging. In this work, we leverage subjective and categorical human assignments of colours to build a model that can predict the colour of compounds on a continuous scale. In the process of developing the model, we also uncover inadequacies in current reporting mechanisms. For example, we show that the majority of colour assignments are subject to perceptive spread that would not comply with common printing standards. To remedy this, we suggest and implement an alternative way of reporting colour—and chemical data in general. All data is captured in an objective, and standardised, form in an electronic lab notebook and subsequently automatically exported to a repository in open formats, from where it can be interactively explored by other researchers. We envision this to be key for a data-driven approach to chemical research.