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The impact of synthetic perfumes on surfactant self-assembly.
This proposal is part of a broad collaboration between Oxford, CCLRC, and Unilever in the study of surfactants and mixed surfactants at interfaces and in solution. This is an... -
Cation substitution in synthetic meridianiite (MgSO4.11D2O): phase behaviour ...
MgSO4.11H2O (MS11) is the most highly hydrated phase in the binary MgSO4¿H2O system. Whilst lower hydrates in this system have end-member analogues containing alternative... -
Interaction between Rubisco and SDOBS at an air-water interface
Protein-surfactant interactions at an interface play an important role for broad applications in the chemical, dairy, cosmetic and pharmaceutical industries. Rubisco is the most... -
Structural development during crystallisation of synthetic polymers
We wish to exploit the unique capability of Nimrod to move forward the long standing issue of the way in which long chain polymers crystallise. There are two key length scales:... -
The effect of alcohol chain length on the interaction between PS-PEO copolyme...
In many applications, surfactants are formulated with a variety of additives to achieve a desired range of properties; polymers and cosurfactants/cosolvents (such as alcohols)... -
Cation substitution in synthetic meridianiite (MgSO4.11H2O): site distributio...
MgSO4.11H2O (MS11) is the most highly hydrated phase in the binary MgSO4¿H2O system. Whilst lower hydrates in this system have end-member analogues containing alternative... -
Multiscale studies of crystallisation in synthetic polymers
We will exploit the unique capability of NIMROD to bring new understanding to the way in which long chain polymers crystallise. There are three key length scales: the first... -
Proton ordering and hydrogen bonding in the hydrous zinc phosphate hopeite, Z...
We request 4 days of beamtime on SXD in order to locate the protons and quantify their ordering within the structure of hopeite Zn3(PO4)2.4H2O. Hopeite is an important phase in... -
Multiscale studies of crystallisation in synthetic polymers
We wish to exploit the unique capability of Nimrod to move forward the long standing issue of the way in which long chain polymers crystallise. For synthetic polymers there are... -
Structural characterization of a synthetic peptoid monomer
Peptoids are synthetic mimics of peptides (the natural building blocks of proteins) in which the side chain is attached to the backbone amide nitrogen instead of the central... -
Reversible Redox in a Cerium (IV) Germanate Scheelite: a New Oxygen Storage M...
Materials that show oxide-ion mobility (solid electrolytes) and/or reversible uptake and release of oxygen (oxygen storage materials) have important uses in applications... -
Dynamic behaviour of confined hydro gen in natural (COx) and synthetic clays ...
The experiment is aimed to unravel the diffusion mechanism of hydrogen in Callovo-Oxfordian clays, which are candidates to be used as backfill material in long term geological... -
Thermoelastic properties and high-pressure decomposition of MgSO4.11D2O (synt...
The undecahydrate of magnesium sulfate (meridianiite) is likely to occur a major rock-forming mineral in the interiors of large icy satellites such as Ganymede, Callisto and... -
Cs0.7Ba0.15TiSi2O6.5 626
This dataset has no description
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pH-Sensitive Dendrimers
Dendrimers are nanosized macromolecules with hyperbranched structures that are capable of loading all kinds of active agents for biodelivery. They are monodisperse in terms of... -
SynthCity Dataset - Trajectory
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - Area 3 (Test)
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - Area 1
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - Complete
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training...