Let’s face it, breadboarding can be frustrating, even for advanced electronics wizards. If you have an older board, you could be dealing with loose tie points left from large component legs, and power ...

The rapid progression of technology has led to a huge increase in energy usage to process the massive troves of data generated by devices. But researchers in the Cockrell School of Engineering at The ...

Circuits based on the stochastic evolution of nanoscale magnets have been used to split large numbers into prime-number factors — a problem that only quantum computers were previously expected to ...

Researchers at the Center for Nanomedicine within the Institute for Basic Science (IBS) and Yonsei University in South Korea have unveiled a technology that can manipulate specific regions of the ...

When you think about making computer chips better, you probably think about transistors. My colleagues and I focused on a less visible part of the problem: the components that deliver power to those ...

Thermal-magnetic circuit breakers contain two different switching mechanisms, a bimetal switch and an electromagnet. The bimetal serves as a means of handling overcurrents. The bimetal typically sits ...

Newswise — Lanthanum strontium manganite (LSMO) is a quantum material that is magnetic and conducts electricity at low temperature but is nonmagnetic and an insulator at room temperature. Quantum ...

They do not depend on temperature as a tripping mechanism, so they often find use where ambient temperatures are high. Their insensitivity to temperature also makes them candidates for protecting ...

During normal operation, thermal circuit breakers utilize a thermal sensing element (such as bimetal), which deflects when the temperature reaches a predetermined calibration level, causing the ...

Sleek magnetic tips promise fast charging and universal fit while tiny metal shards collect on exposed contacts.

New research finds that magnetic wires, spaced a certain way, can lead to a 20-30x reduction in the amount of energy needed to run neural network training algorithms. The rapid progression of ...