Modelling of Advanced Functional Materials using Terascale Computing

Lead Research Organisation: Imperial College London
Department Name: Chemistry

Abstract

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Description The efficient implementation, porting and distribution of the CRYSTAL software for the HPCx and ARCHER massively parallel computers.

Two discoveries that have application in efficient information processing through spintronics.

The discovery of vacancy migration mechanisms in graphene and its use to generate a high temperature semiconducting magnetic phase.

The discovery of high temperature antiferromagnetism in a molecular semiconductor thin film.

The development of a new model of grain boundary diffusion in ceramic films that will be applied to the modelling of corrosion.

A detailed understanding of the decomposition of solar cell materials - perovskite MA-halides - in queues environments

A model of the BiVO heterojunction.
Exploitation Route The advances in first principles software will be used in 1000+ commercial and academic research groups world wide in projects involving chemistry, physics, materials and earth sciences and biology.

The discoveries of organic, semiconductors with ordered magnetic states at room temperature are fundamental advances that may find application in future systems for digital information storage and processing.
Sectors Chemicals,Education,Electronics,Energy

URL http://www.crystal.unito.it
 
Description Developments of the CRYSTAL software for computing excited states using TD-DFT theory and for the efficient use of massively parallel computers have been incorporated into the CRYSTAL-17 package and released to a world wide community of users.
First Year Of Impact 2018
Sector Chemicals,Digital/Communication/Information Technologies (including Software),Education,Energy,Environment
Impact Types Economic