Ananya Singh, a third-year PhD student under the supervision of Dr Wing Ying Chow, was selected to present her research at the prestigious STEM for Britain event held at the House of Commons on March 11, 2025. Her research focuses on the 'Development of solid-state NMR approaches for probing fungal and human matrices with relevance to human disease.'

In an invited review, Warwick PG and UG students Bayo and Webb, together with their EUTOPIA colleagues Çivitcioğlu and Honecker as well as Warwick academic Römer, summarize recent progress in applications of deep learning methods to phase and structure determination for model systems in physics. This is part of a special topic issue on "machine learning physics" by the Japanese Physical Society.

We are pleased to provide an update on the progress of the installation of the UK’s first 1.2 GHz NMR spectrometer.

Dr Marios Hadjimichael has published a paper in Physical Review X titled 'Assessing the ubiquity of Bloch domain walls in ferroelectric lead titanate superlattices.'Link opens in a new window

A new community of academics researching various astrophysical discs came together at their first launch meeting at the University of Warwick in September. Spearheaded by Warwick astrophysicists, the UK & Ireland Discs community has been set up to foster close connections and collaborations between the many researchers working on astrophysical discs.

PhD student Syl Shaw and supervisor Rudo Roemer apply the real-space renormalisation group method to the Chalker–Coddington model of the quantum Hall transition. This approach provides a convenient numerical estimation of the localisation critical exponent, ν. Previous such studies found ν=2.39 which falls considerably short of the current best estimates by transfer matrix (2.593) and exact-diagonalisation studies (2.58). By increasing the amount of data 500 fold they can now measure closer to the critical point and find an improved estimate 2.51. This deviates only 3% from the previous two values and is already better than the 7% accuracy of the classical small-cell renormalisation approach from which their method is adapted.