Materials Modelling|Pooja Goddard| Loughborough
Based at Loughborough University's Department of Chemistry, our work focusses on computational modelling of fundamental processes in complex materials at the atomic/quantum scale.
Our multi scale modelling approach combines inter-ionic potential-based methods and Density Functional Theory (DFT) simulations in strong collaboration with experimental groups and industry.
The areas of research within the group are wide-ranging with a focus on the next generation energy storage systems, thin film photovoltaics, fuel cell materials and more recently fingerprint detection materials and biomarker detection.
AFM 2021, Nature Comms. 2020, CoM 2020, SSI 2020
Thin Film Solar Cells,
NatComms 2021, PRMat 2021, JPCM 2019, TSF 2019, IEEE 2018
1) Congratulations to Dr. P on securing a Royal Society Industry Fellowship 2021 with Echion Technologies.
2) Well done to Peter Hatton and Michael Watts on their latest publication in Nature Comms: https://www.nature.com/articles/s41467-021-25063-y
3) Great news on the Knowledge Transfer Partnership grant with Echion Technologies.
Fingerprint development reagents - JCP 2021