Research in the TuttleLab is focused on the concept of reducing molecular search spaces. The reduction of molecular search spaces involves the use of computational methodology to inform, focus and drive the direction of molecular research. The group works in close collaboration with experimental colleagues to ensure the results from our design work are able to be directly implemented in a practical laboratory. The process of reducing molecular search spaces involves three phases: (1) rationalising and understanding existing systems; (2) isolating the governing molecular processes; and (3) predicting new systems with enhanced/desirable properties and reactivities. A variety of different methods are used in pursuit of this goal, including ab initio, DFT, semi-empirical, MM, coarse grain and hybrid QM/MM methodologies.

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News From the Lab

SMARTNET Paris June 2016

In the beginning of June, Inês went to Paris to attend a conference on soft matter and gels, organised by SMARTNET together with Solvay (see website http://www.smartnet4u.org/2016/06/22/gels-formulations-and-supramolecular-materials/). It was an amazing 2-day conference with talks on self-assembly, gel rheology and multicomponent gel applications, from both invited speakers (Dave Adams, Gareth Lloyd, etc) and also Smartnet […]

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ScotCHEM Computational Chemistry Conference 2016

The ScotCHEM computational chemistry conference was hosted by the University of Edinburgh on the 14th June 2016. The day started with the plenary speaker, Dr Paola Carbone from the University of Manchester, describing their efforts in modelling polymer aggregates.   Amongst the 11 speakers on the day were two members from the TuttleLab; Tomasz Piskorz […]

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