Codes

Castep

CASTEP is a leading code based on planewave-pseudopotential density functional theory. CASTEP can calculate a plethora of properties from first-principles, including energies, vibrational properties (such as infra-red and Raman spectra), electronic response properties, NMR parameters and more. A...

AIRSS

Ab Initio Random Structure Searching 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...

EDDP

Ephemeral Data Derived Potentials The ddp package contains a suite of tools to construct and test data derived interatomic potentials. They are designed to be used with the a irss first principles structure prediction package. Ab initio random structure searching (AIRSS) can be used to generate...

GIPAW

GIPAW GIPAW (Gauge Including Projector Augmented Waves) is a DFT based method to calculate magnetic resonance properties, exploiting the full translational symmetry of crystals. The use of pseudopotentials and plane waves provides an excellent balance of speed and accuracy.

Optados

For high quality theoretical DOS, Projected-DOS, Joint-DOS, Optics and core-loss spectroscopy.

SHEAP

sheap-small.png Stochastic Hyperspace Embedding And Projection Stochastic Hyperspace Embedding And Projection ( SHEAP ) is a dimensionality reduction method designed for visualising potential energy surfaces. Computational structure prediction can assist the discovery of new materials. One searches...

Latest news

Quantum-induced hydrogen hopping in high-temperature superconducting lanthanum polyhydride

14 April 2023

Figure caption : Quantum effects are essential for hydrogen to dynamically explore different configurations. On the left, we see how the hydrogen atoms cover much larger distances at all temperatures when quantum effects are...

Flat water and ice

26 September 2022

Figure Caption : Pentagonal ice – a two-dimensional form of ice predicted to form when water is squeezed between graphene sheets. Water can be found trapped in nanoscale cavities, for example in biological membranes, or in...

Congratulations Ben Shires!

2 August 2022

Ben completed his PhD viva last week, covering his work on SHEAP , and he will soon be Dr Shires. Congratulations! shires.jpg

Quicker Crystals

14 July 2022

First-principles structure prediction has enabled the computational discovery of materials with extreme, or exotic properties. For example, the dense hydrides, which following computational searches have been found to...

New carbonates uncovered

7 January 2022

A study by Joseph Nelson and Chris Pickard of the Department of Materials Science and Metallurgy, University of Cambridge and the AIMR, Tohoku University, uses structure prediction to exhaustively explore the Ti-C-O and Al-C-O ternary systems.

Postdoc in High Temperature Conventional Superconductivity

5 January 2022

Applications are invited for a postdoctoral research position with Professor Chris Pickard at the University of Cambridge. Recent advances in computational methods have raised the prospect of the in silico design of high...

Visualising potential energy surfaces using dimensionality reduction

25 November 2021

Computational structure prediction has emerged as a highly successful approach to the discovery of new materials. Candidate structures are created by constructing the most stable configurations that can be adopted by a given...

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