Computational Modelling Group

Onetep

ONETEP is a linear-scaling density functional theory software package able to run on parallel computers[1]. It uses a basis of non-orthogonal generalized Wannier functions (NGWFs) expressed in terms of periodic cardinal sine (psinc) functions, which are in turn equivalent to a basis of plane-waves. ONETEP therefore combines the advantages of the plane-wave approach (controllable accuracy and variational convergence of the total energy with respect to the size of the basis) with computational effort that scales linearly with the size of the system [2]. The ONETEP approach involves simultaneous optimization of the density kernel (a generalization of occupation numbers to non-orthogonal basis, which represents the density matrix in the basis of NGWFs) and the NGWFs themselves. The optimized NGWFs then provide a minimal localized basis set, which can be considerably smaller than the unoptimized basis sets used in most approaches.

ONETEP has been developed by a group of UK academics based at Cambridge University, Southampton University and Imperial College London. It is available free to UK academics, and licenses can be obtained for non-UK academic usage from the developers or through Accelrys' Materials Studio package.

Official website: http://www2.tcm.phy.cam.ac.uk/onetep/Main/HomePage Wikipedia entry: http://en.wikipedia.org/wiki/ONETEP

For queries about this topic, contact Chris-Kriton Skylaris.

View the calendar of events relating to this topic.

Projects

Ab initio simulations of chemical reactions on platinum nanoparticles

Chris-Kriton Skylaris (Investigator), Álvaro Ruiz-Serrano, Peter Cherry

•Use first principles calculations to study the relationship between shape and size of nanoparticle and the oxygen adsorption energy.

• Investigate the effect of high oxygen coverage on the catalytic activity of the nanoparticles.

Can we calculate the pKa of new drugs, based on their structure alone?

Chris-Kriton Skylaris (Investigator), Chris Pittock, Jacek Dziedzic

The pKa of an active compound in a pharmaceutical drug affects how it is absorbed and distributed around the human body. While there are various computational methods to predict pKa using only molecular structure data, these tend to be specialised to only one class of drug - we aim to generate a more generalised prediction method using quantum mechanics.

Centre for Doctoral Training in Next Generation Computational Modelling

Hans Fangohr, Ian Hawke, Peter Horak (Investigators), Susanne Ufermann Fangohr, Ryan Pepper, Hossam Ragheb, Emanuele Zappia, Ashley Setter, David Lusher, Alvaro Perez-Diaz, Kieran Selvon, Thorsten Wittemeier, Mihails Milehins, Stephen Gow, Ioannis Begleris, Jonathon Waters, James Harrison, Joshua Greenhalgh, Rory Brown, Robert Entwistle, Paul Chambers, Jan Kamenik, Craig Rafter

The £10million Centre for Doctoral Training was launched in November 2013 and is jointly funded by EPSRC, the University of Southampton, and its partners.

The NGCM brings together world-class simulation modelling research activities from across the University of Southampton and hosts a 4-year doctoral training programme that is the first of its kind in the UK.

Development of wide-ranging functionality in ONETEP

Chris-Kriton Skylaris (Investigator), Jacek Dziedzic

ONETEP is at the cutting edge of developments in first principles calculations. However, while the fundamental difficulties of performing accurate first-principles calculations with linear-scaling cost have been solved, only a small core of functionality is currently available in ONETEP which prevents its wide application. In this collaborative project between three Universities, the original developers of ONETEP will lead an ambitious workplan whereby the functionality of the code will be rapidly and significantly enriched.

Dipole moment and theoretical spectroscopy: a computational approach

Chris-Kriton Skylaris (Investigator), Valerio Vitale

The present project represents a first step towards the implementation of a new technique to calculate the whole vibrational spectra of molecules in a formally exact way, which fully takes into account anharmonicity and conformational transitions, at a finite temperature, both in gas phase and in solution in a single ab initio molecular dynamics simulation.

Electrostatic embedded energy calculations of proteins, using the ONETEP DFT code

Chris-Kriton Skylaris (Investigator), Stephen Fox, Chris Pittock

Calculating the energy of a biomolecule in solvent, using quantum mechanics (QM) is possible, but extremely challenging, even with linear-scaling QM methods like ONETEP. Using electrostatic embedding, a novel twist on the existing QM/MM method is used to calculate the binding energy of a small ligand to a solvated protein, increasing the accuracy and realism of our general project work.

Investigation into the Interfacial Physics of Field Effect Biosensors

Nicolas Green, Chris-Kriton Skylaris (Investigators), Benjamin Lowe

This interdisciplinary research aims to improve understanding of Field Effect Transistor Biosensors (Bio-FETs) and to work towards a multiscale model which can be used to better understand and predict device response.

Large-Scale Quantum Chemistry Simulations of Organic Photovoltaics

Chris-Kriton Skylaris (Investigator), Gabriele Boschetto

The aim of this project is to use first principles quantum mechanical calculations to provide a detailed atomic-level understanding of OPV materials and models of bulk heterojunctions on a far larger scale than possible before by using the ONETEP program for linear-scaling first principles quantum mechanical calculations.

Sustainable domain-specific software generation tools for extremely parallel particle-based simulations

Chris-Kriton Skylaris (Investigator)

A range of particle based methods (PBM) are currently used to simulate materials in chemistry, engineering, physics and biophysics. The 4 types of PBM considered directly in the proposed are molecular dynamics (MD), the ONETEP quantum mechanics-based program, discrete element modelling (DEM), and smoothed particle hydrodynamics (SPH).
The overall research objective is to develop a sustainable tool that will deliver, in the future, cutting edge research applicable to applications ranging from dam engineering to atomistic drug design.

The hydrogen abstraction phase of the CYP-cyclohexene reaction, using large-scale DFT

Chris-Kriton Skylaris (Investigator), Chris Pittock, Karl Wilkinson

Studying the hydrogen-abstraction reaction between cyclohexene and the active site of cytochrome P450. This starts a series of reactions that eventually oxidise the small molecule to become either an epoxide or an alcohol.

Understanding the finer detail of this reaction can assist towards a model that will predict the breakdown of drugs in the human body.

Vibrational spectroscopy from ab initio molecular dynamics

Hans Fangohr, Chris-Kriton Skylaris (Investigators), Valerio Vitale

In this project I used the Fourier transform of the time correlation function (FTTCF) formalism, that allows to compute the vibrational spectra of molecules both in gas and condensed phase, at finite temperature, in a single ab initio molecular dynamics simulation.

People

Hans Fangohr
Professor, Engineering Sciences (FEE)
Nicolas Green
Reader, Electronics and Computer Science (FPAS)
Peter Horak
Reader, Optoelectronics Research Centre
Ian Hawke
Lecturer, Mathematics (FSHS)
Chris-Kriton Skylaris
Lecturer, Chemistry (FNES)
Jacek Dziedzic
Research Fellow, Chemistry (FNES)
Karl Wilkinson
Research Fellow, Chemistry (FNES)
Hong-Tao Xue
Research Fellow, Chemistry (FNES)
Ioannis Begleris
Postgraduate Research Student, Engineering Sciences (FEE)
Gabriele Boschetto
Postgraduate Research Student, Engineering Sciences (FEE)
Rory Brown
Postgraduate Research Student, Civil Engineering & the Environment (FEE)
Paul Chambers
Postgraduate Research Student, Engineering Sciences (FEE)
Peter Cherry
Postgraduate Research Student, Chemistry (FNES)
Robert Entwistle
Postgraduate Research Student, Engineering Sciences (FEE)
Stephen Fox
Postgraduate Research Student, Chemistry (FNES)
Stephen Gow
Postgraduate Research Student, Engineering Sciences (FEE)
Joshua Greenhalgh
Postgraduate Research Student, Engineering Sciences (FEE)
James Harrison
Postgraduate Research Student, Engineering Sciences (FEE)
Quintin Hill
Postgraduate Research Student, Chemistry (FNES)
Jan Kamenik
Postgraduate Research Student, Engineering Sciences (FEE)
Benjamin Lowe
Postgraduate Research Student, Electronics and Computer Science (FPAS)
David Lusher
Postgraduate Research Student, Engineering Sciences (FEE)
Alvaro Perez-Diaz
Postgraduate Research Student, Engineering Sciences (FEE)
Maximillian Phipps
Postgraduate Research Student, Chemistry (FNES)
Chris Pittock
Postgraduate Research Student, Chemistry (FNES)
Craig Rafter
Postgraduate Research Student, Engineering Sciences (FEE)
Hossam Ragheb
Postgraduate Research Student, Engineering Sciences (FEE)
Álvaro Ruiz-Serrano
Postgraduate Research Student, Chemistry (FNES)
Kieran Selvon
Postgraduate Research Student, Engineering Sciences (FEE)
Ashley Setter
Postgraduate Research Student, Engineering Sciences (FEE)
Valerio Vitale
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Jonathon Waters
Postgraduate Research Student, Engineering Sciences (FEE)
Thorsten Wittemeier
Postgraduate Research Student, Engineering Sciences (FEE)
Emanuele Zappia
Postgraduate Research Student, Engineering Sciences (FEE)
Petrina Butler
Administrative Staff, Research and Innovation Services
Susanne Ufermann Fangohr
Administrative Staff, Civil Engineering & the Environment (FEE)
Mihails Milehins
Alumnus, University of Southampton
Zheng Jiang
None, None