Atomic channels can separate rare earth elements from each other without using toxic chemicals

Rare earth elements like lanthanum, neodymium and dysprosium are used to build the electric motor in your car, the LED lights ...
Nanowerk

Machine learning maps the atomic complexity inside batteries

Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.
War on the RocksOpinion

Before Q-Day: The Race to Quantum First

Somewhere, a hard drive is filling up with secrets no one can read yet, and its owner is waiting for the machine that opens ...
autoevolution

The Smallest Production Cars Ever Fitted with a V8 From the Factory

From a Daimler built by a motorcycle engineer to an Ariel that outguns a Bugatti Veyron, these are the smallest and lightest ...
Interesting Engineering

Next-generation solid ‘sandwich’ crystal designed to convert waste heat into electricity

Japanese researchers have developed a new imperfect layered crystal that is capable of turning heat into electricity.
Tech Times

China Startup Fits Quantum Computer in a Server Rack Without Cryogenic Cooling

Neutral atom quantum computer startup Zhongqi Wuliang unveiled Qinghe No. 1 at WAIC 2026 — a server-rack system without ...

Scientists observe ‘negative time’ for the first time in a quantum experiment

A photon enters a cloud of atoms and emerges on the other side. When physicists calculate how long the atoms remained excited ...

The White House is dictating access to frontier AI models, shifting power from tech giants, sources say

The Trump administration is taking steps to control who gets access to the latest frontier models, people familiar with the ...
IEEE

MambaDiff: Mamba-Enhanced Diffusion Model for 3D Medical Image Segmentation

Abstract: Accurate 3D medical image segmentation is crucial for diagnosis and treatment. Diffusion models demonstrate promising performance in medical image segmentation tasks due to the progressive ...
IEEE

Advancing Industrial Process Control With Deep Learning-Enhanced Model Predictive Control for Nonlinear Time-Delay Systems

Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...