New method could slash computer memory energy use by orders of magnitude
New CapabilitiesUniversity of Edinburgh researchers design magnetic pulses that flip bits with far less energy
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Overview
Updated 1 hour agoEvery time a computer flips a bit from 0 to 1, it spends energy. Researchers at the University of Edinburgh have found a way to make that flip dramatically cheaper by treating the magnetic pulse that does the switching as a math optimization problem.
Simulations suggest the method could cut switching energy by up to 100x compared with today's leading memory technologies, bringing devices close to the Landauer limit, the thermodynamic floor for processing a single bit. That matters because data centers powering AI already consume enormous electricity, and demand keeps climbing.
Why it matters
If the method works in hardware, AI data centers could cut memory energy use by 100x, approaching physics' fundamental limit.
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The University of Edinburgh is a public research university in Scotland.
Advanced Materials is a peer-reviewed materials science journal published by Wiley.
Timeline
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Findings reported widely
Latest Media coverageScienceDaily and tech outlets report the research, highlighting the potential 100x energy reduction for memory switching.
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Paper published in Advanced Materials
PublicationThe University of Edinburgh team publishes its optimal control framework for magnetic switching in van der Waals magnets.
Historical Context
3 moments from history that rhyme with this story — and how they unfolded.
Landauer's principle (1961)
Rolf Landauer at IBM showed that erasing one bit of information must dissipate at least kT ln(2) of energy, about 0.017 electronvolts at room temperature. This set a thermodynamic floor for all computing.
The result was largely theoretical for decades, with real devices consuming millions of times more energy per operation.
The Landauer limit became a benchmark for energy-efficient computing research, and the Edinburgh team's work is explicitly measured against it.
The Edinburgh team's simulations bring magnetic switching within striking distance of this fundamental limit.
Giant magnetoresistance discovery (1988)
Albert Fert and Peter Grünberg independently discovered that tiny magnetic field changes produce large resistance changes in layered materials. The finding won the 2007 Nobel Prize in Physics.
Within a decade, GMR read heads appeared in commercial hard drives, enabling a rapid increase in storage density.
GMR became the foundation of spintronics and showed how fundamental magnetism research can transform the storage industry.
Like GMR, the Edinburgh framework is a fundamental physics insight that could take years to reach commercial hardware, but could reshape memory technology if it does.
STT-MRAM development (2000s)
Spin-transfer torque magnetic random access memory moved from lab demonstrations to commercial products over more than a decade. Companies like Everspin brought STT-MRAM to market, but adoption was slow.
STT-MRAM found niche applications in embedded systems and industrial storage.
The technology showed that magnetic memory can compete with DRAM and flash, but the path from research to market is long.
The Edinburgh team's framework targets the same class of magnetic memory, and the STT-MRAM timeline shows how long experimental validation and commercialization can take.
