Support for the UKCP consortium

Lead Research Organisation: University College London
Department Name: Physics and Astronomy

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

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Terranova U (2013) ? Self-Consistent Field Method for Natural Anthocyanidin Dyes. in Journal of chemical theory and computation

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Sinthiptharakoon K (2014) Investigating individual arsenic dopant atoms in silicon using low-temperature scanning tunnelling microscopy. in Journal of physics. Condensed matter : an Institute of Physics journal

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Smith R (2014) Hydrogen adsorption and diffusion around Si(0 0 1)/Si(1 1 0) corners in nanostructures. in Journal of physics. Condensed matter : an Institute of Physics journal

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O'Rourke C (2014) DSSC anchoring groups: a surface dependent decision. in Journal of physics. Condensed matter : an Institute of Physics journal

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Monserrat B (2016) Hexagonal structure of phase III of solid hydrogen in Physical Review B

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Reilly AM (2016) Report on the sixth blind test of organic crystal structure prediction methods. in Acta crystallographica Section B, Structural science, crystal engineering and materials

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Pickard C (2016) Carbon nitride frameworks and dense crystalline polymorphs in Physical Review B

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Smith RL (2017) Alane adsorption and dissociation on the Si(0 0 1) surface. in Journal of physics. Condensed matter : an Institute of Physics journal

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Hart M (2017) Encapsulation and Polymerization of White Phosphorus Inside Single-Wall Carbon Nanotubes. in Angewandte Chemie (International ed. in English)

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Shenton JK (2017) Effects of the Hubbard U on density functional-based predictions of BiFeO3 properties. in Journal of physics. Condensed matter : an Institute of Physics journal

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Martinez-Canales M (2017) Dirac cones in two-dimensional borane in Physical Review B

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O'Rourke C (2018) Structural properties of silicon-germanium and germanium-silicon core-shell nanowires. in Journal of physics. Condensed matter : an Institute of Physics journal

 
Description See Lead Organisation report for EP/K013564/1
Exploitation Route See Lead Organisation report for EP/K013564/1
Sectors Chemicals,Electronics,Energy,Environment,Manufacturing, including Industrial Biotechology

 
Title AIRSS 
Description Ab initio Random Structure Searching (AIRSS) is a very simple, yet powerful and highly parallel, approach to structure prediction. The concept was introduced in 2006 and its philosophy more extensively discussed in 2011. Random structures - or more precisely, random "sensible" structures - are generated and then relaxed to nearby local energy minima. Particular success has been found using density functional theory (DFT) for the energies, hence the focus on "ab initio" random structure searching. The sensible random structures are constructed so that they have reasonable densities, and atomic separations. Additionally they may embody crystallographic, chemical or prior experimental/computational knowledge. Beyond these explicit constraints the emphasis is on a broad, uniform, sampling of structure space. AIRSS has been used in a number of landmark studies in structure prediction, from the structure of SiH4 under pressure to providing the theoretical structures which are used to understand dense hydrogen (and anticipating the mixed Phase IV), incommensurate phases in aluminium under terapascal pressures, and ionic phases of ammonia. The approach naturally extends to the prediction clusters/molecules, defects in solids, interfaces and surfaces (interfaces with vacuum). The AIRSS package is tightly integrated with the CASTEP first principles total energy code. However, it is relatively straightforward to modify the scripts to use alternative codes to obtain the core functionality, and examples are provided. The AIRSS package is released under the GPL2 licence. 
Type Of Technology Software 
Year Produced 2017 
Impact It appears that researcher are routinely using AIRSS. 
URL https://www.mtg.msm.cam.ac.uk/Codes/AIRSS