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Researchers use a precise helium ion beam to introduce controlled defects into aluminum nitride, turning it into a ferroelectric material for low-power data storage with existing chip manufacturing tools.

Researchers develop a room-temperature device using oscillators and quantum materials to efficiently tackle complex real-world challenges in scheduling and routing.

Cornell scientists create a low-power microchip that processes ultrafast data and wireless signals using microwave physics, offering efficient computing for various tasks.

Ambitious plans target gigawatt-scale computing in space to bypass ground-based energy and cooling constraints.

A new optical neural engine uses light to solve partial differential equations faster, transforming scientific and engineering computations with efficiency.

Researchers enhance simulation of electric fields in plasmas, aiding chip manufacturing and fusion research with faster, stable tools.

DELERIA software at Berkeley and Oak Ridge labs processes massive nuclear physics data in seconds, enhancing experiments.

Physics-informed artificial intelligence prevents molecular breakdown and supports longer, more reliable simulations for chemistry research.

New device combines memory and processing using precise hydrogen ion movement to mimic brain synapses in a compact stacked design for efficient computing.

UC San Diego researchers create a computing device that mimics brain networks to combine memory and processing for faster and more energy-efficient performance.