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Researchers use circularly polarised terahertz pulses to reversibly switch ferroaxial domains, revealing a new route to stable, light-driven data storage technologies.

The European Space Agency (ESA) has announced its preliminary selection of payloads for its future Mars exploration mission and the results include an Oxford Physics-led instrument named BEBOP.

A new study co-led by the University of Oxford and Google Cloud has shown how general-purpose AI can accurately classify real changes in the night sky.

We work among extraordinary people doing extraordinary things; get to know some of them by reading these quick-fire interviews.

Scientists have found direct evidence that the fastest and most powerful astrophysical jets are locked to the spin of the black hole that launches them. The results have been published in Nature Astronomy.

Oxford physicists have developed an AI framework that allows quantum laboratories to run and adapt experiments autonomously.

A new fully funded DPhil studentship has been created at the University of Oxford thanks to support from AlbaCore Capital Group; the award will support the advancement of research at the intersection of artificial intelligence, climate and the environment

In a deal formally completed this month, Oxford Ionics has been acquired by US quantum leader IonQ in a $1.075 billion agreement making it the highest-value acquisition of any University of Oxford quantum computing spinout to date.

A new study from teams at the Department of Physics, IBM Research and the University of Hamburg, reported in Physical Review Letters, offers a new perspective on the many-body behaviour of dispersion forces

Researchers at the Department of Physics are simulating the strange, probabilistic world of quantum mechanics, opening the door to new innovations for superconductors, materials science, and quantum technologies.

Physicists at the University of Oxford have found the first compelling observational evidence that the Cosmic Microwave Background – the faint afterglow of the Big Bang – affects radio signals from distant galaxies.

A new AI-powered tool has reduced astronomers’ workload by 85% filtering through thousands of data alerts to identify the few genuine signals caused by supernovae – powerful explosions from dying stars.