Materials Theory Group
Peter is a PDRA in the MTG in the Department of Materials Science & Metallurgy.
He has studied a range of materials including solid hydrogen, polymer composites and organic semiconductors.
His research uses a combination of novel method development and large simulation packages such as CASTEP and LAMMPS.
His work with Prof. Chris Pickard is focused on studying materials under extreme conditions generated by dynamic shock.
See Google Scholar
11 February 2026
During his visit to Nanyang Technological University (NTU) in Singapore, Prof. Chris Pickard played a leading role in a symposium on AI for materials discovery ( https://www.ntu.edu.sg/mse/news-events/events/detail/2026/01/...
Welcome to Will Galloway and Dr. JiuYang Shi !
25 November 2025
Will Galloway has joined the MTG as a new PhD student in October. Dr. JiuYang Shi will collaborate with MTG, he is a postdoc in Prof. Angelos Michaelides group.
AIRAPT Conference in Matsuyama (Japan)
28 September 2025
Dr. Ryuhei Sato (Assistant Professor at Tokyo University) and Dr. Maélie Caussé attended the 2025 AIRAPT Conference.
Dr. Ruyhei Sato and Kim Kamsma visiting MTG. And Welcome to Stefano Racioppi !
1 September 2025
Dr. Ruyhei Sato from Tokyo University and Tim Kamsam (PhD student in Utrecht University in Theoretical Physics and Mathematics) visited Material Theory Group this summer for few months ! Picture of the MTG (from left to...
Chris Pickard on the American Scientist podcast
24 July 2025
MTG group leader Chris Pickard was featured on the American Scientist podcast this month. Access the podcast using this link to hear Chris discuss a range of topics, from future research directions of the group, to pondering...
CS2PA Workshop in Poitiers (France)
20 June 2025
The first edition CS2PA workshop, a series of hands-on tutorials on Crystal Structure Prediction & Machine-learned potentials was held in Poitiers University (France), (see program of CS2PA ) MTG leader Chris Pickard and...
Congratulations Pascal Salzbrenner !
10 June 2025
Dr. Pascal Salzbrenner completed his PhD on High-throughput Ab Initio Phase Diagram Prediction in 2025.
© 2026 University of Cambridge