Project to cut AI data centre energy use with 2D semiconductors
Queen Mary University of London is leading NEED2D, an EPSRC-funded project developing 2D semiconductors to reduce the electricity demand from AI data centres and high-performance computing.

The team at QMUL will be joined by scientists at the Universities of Nottingham and Glasgow in the £6m NEED2D (Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and Devices) project.
The team will work in partnership with manufacturers and research institutions to develop new materials and prototype transformational low-energy-consumption electronic devices such as transistors.
In a statement, Sir Colin Humphreys, Professor of Materials Science at Queen Mary University of London, said: “Governments around the world are spending billions building wind, solar, nuclear and gas power stations to meet the huge energy demands of AI data centres. Our approach is to tackle the problem at the source: by reducing the power these centres consume in the first place.
“To do this we will use the latest new materials… which are atomically thin. This will save over 90 per cent of the energy required by data centres and computers, reduce the cost of electricity, and help to enable Net Zero.”
Register now to continue reading
Thanks for visiting The Engineer. You’ve now reached your monthly limit of news stories. Register for free to unlock unlimited access to all of our news coverage, as well as premium content including opinion, in-depth features and special reports.
Benefits of registering
-
In-depth insights and coverage of key emerging trends
-
Unrestricted access to special reports throughout the year
-
Daily technology news delivered straight to your inbox
Construction industry lags in tech adoption
Are these the best people to ask "Insights from 2,000 Industry Leaders"? - what would their customers views be like (perhaps more...