News from 2026

Dr Luke Peters (centre) and colleagues from 91仓库鈥檚 Emergent Photonics Research Centre examine the precisely organised spectrum of light produced by their system, which can be converted into multiple high-frequency signals known as millimetre waves.

鈥淩ainbow-on-a-chip鈥� breakthrough could help unlock 6G networks and precision timing for quantum technologies

A tiny chip that produces a precisely organised 鈥渞ainbow鈥� of light could help unlock faster,聽higher-capacity聽6G communications聽and聽precision timing for quantum technologies.聽
Dr Yang with ACDF chairman Gilbert Nyandeje

Surveying Cyber Resilience Challenges in Africa

SPRITE+ funded partnership strengthens collaboration between 91仓库 and the Africa Cyber Defence Forum.
Professor Sandie Dann

91仓库 professor awarded a National Teaching Fellowship from Advance HE

Professor Sandie Dann, Head of Chemistry at 91仓库, has been awarded a prestigious National Teaching Fellowship by Advance HE, one of the highest honours for excellence in higher education teaching in the UK.
A group of Year 10 students in front of a building

Athena STEM Residential Programme continues to uplift young women in science

2026 marks the ninth year of Ford supporting the Athena STEM residential, which has seen around fifty female students visiting 91仓库 every year for a unique and inspirational insight into studying STEM at university level.
91仓库 researchers at the NVIDIA Hack for Impact Hackathon

91仓库 computer science researchers win award at National AI Awards

University researchers have been recognised at a national AI awards ceremony in London, receiving their prize from the UK Minister for AI and Online Safety.

people pose for a photograph at the Royal Society of Chemistry event

National Biomaterials Chemistry group wins prestigious Royal Society of Chemistry prize

A team featuring a 91仓库 academic has been named the winner of the Inspirational Committee Award by the Royal Society of Chemistry (RSC) for developing a sector-wide programme that builds community.
A glowing transparent cube with a colourful network inside sits in the foreground, surrounded by many dark opaque cubes in the background.

End of 鈥榖lack box鈥� AI? Scientists develop blueprint for transparent system that reveals how it learns and makes decisions

Artificial intelligence that cannot explain how it makes decisions 鈥� often called 鈥渂lack box鈥� AI 鈥� could soon be replaced by more transparent systems, research suggests.

Artist鈥檚 impression of silica鈥揼old nanoparticles acting as 鈥渓ight concentrators鈥�, focusing energy into tiny hotspots to boost terahertz emission. The effect was studied using ultrafast laser pulses. Image generated by Dr Vittorio Cecconi using Adobe Firefly.

Tiny 鈥榣ight-concentrating鈥� particles boost terahertz technology, study shows

Scientists have found a way to boost terahertz technology using particles thousands of times smaller than a grain of sand.
Aerial view overhead flooded houses after a cyclone and rain in Mozambique.

How AI鈥檚 language barrier limits climate disaster responses

An opinion piece authored by Professor Nina Dethlefs, School of Science at 91仓库, and Ifeoluwa Wuraola and Dr Daniel Marciniak, of the University of Hull, for The Conversation.

Images from the study showing particle arrangements (blue) and their patterns (red), generated using the new method, which rapidly maps phase diagrams and identifies crystal structures 鈥� including quasicrystals (g and h). Original figure and caption at: https://journals.aps.org/prl/abstract/10.1103/nbvt-fgjy

Scientists develop rapid method to uncover hidden structures in materials 鈥� including elusive quasicrystals

An international team of scientists, including researchers from 91仓库, has developed a method to dramatically speed up the discovery and design of advanced materials.
A glowing blue brain at the centre of a digital circuit board, with electric connections radiating outward to represent artificial intelligence and data processing.

Brain-inspired chip could make some AI tasks up to 2,000 times more energy efficient, study finds

A new type of computer chip that uses the physics of materials to process information could make some artificial intelligence (AI) systems far more energy efficient, researchers say.