27 May 2026
Researchers at the Department of Materials Science and Metallurgy, University of Cambridge have published new work exploring advanced materials for energy-efficient, brain-inspired computing.
The study, published in Science Advances, investigates a new class of memristive devices based on ferroelectric materials, offering a promising approach to reducing the energy demands of artificial intelligence systems.
Neuromorphic computing seeks to draw inspiration from the way the brain processes information. This research demonstrates how carefully designed materials can enable devices that exhibit key characteristics required for such systems, opening up new directions for more efficient and scalable hardware.
The innovation is also supported by a British patent, highlighting its potential for future technological applications and further development.
The work forms part of ongoing research within the Department focused on functional materials for next-generation electronics, bringing together expertise in materials synthesis, characterisation and device engineering.
Further information
Read the full University of Cambridge news story:
https://www.cam.ac.uk/research/news/new-computer-chip-material-inspired-…
Access the research paper in Science Advances:
https://www.science.org/doi/10.1126/sciadv.aec2324
Image: Babak standing close to the advanced AJA sputtering system used to fabricate the Hf(Sr,Ti)O₂ devices. Photo: Kasia Surowiecka.