Category Physics

Osaka Metropolitan University scientists have created a molecule that naturally forms p/n junctions, structures that are vital for converting sunlight into electricity. Their findings offer a promising shortcut to producing more efficient organic thin-film solar cells. Their study is published in Angewandte Chemie International Edition.

How organic solar cells work
Solar cells convert sunlight directly into electricity. Within each cell, two semiconductors—p-type and n-type—form a p/n junction, where the photovoltaic effect performs the conversion.

Organic thin-film solar cells use carbon-based semiconductors instead of the traditional silicon, making them lightweight, flexible, and economic...

What if you could create new materials just by shining a light at them? To most, this sounds like science fiction or alchemy, but to physicists investigating the burgeoning field of Floquet engineering, this is the goal. With a periodic drive, like light, scientists can “dress up” the electronic structure of any material, altering its fundamental properties—such as turning a simple semiconductor into a superconductor.

While the theory of Floquet physics has been investigated since a bold proposal by Oka and Aoki in 2009, only a handful of experiments within the past decade have managed to demonstrate Floquet effects...

To reliably complete household chores, assemble products and tackle other manual tasks, robots should be able to adapt their manipulation strategies based on the objects they are working with, similarly to how humans leverage information they gain via the sense of touch. While humans attain tactile information via nerves in their skin and muscles, robots rely on sensors, devices that sense their surroundings and pick up specific physical signals.

Most robotic hands and grippers developed so far rely on visual-tactile senso...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware’s noisy updates with neural network training, slashing energy use by nearly six orders of magnitude versus GPUs while boosting accuracy on vision tasks. The study validates EaPU on 180 nm memristor arrays and large-scale simulations.

Analog in-memory computing with memristors promises to overcome digital chips’ energy bottlenecks by performing matrix operations via physical laws. Memristors are devices that combine memory and processing like brain synapses.

Inference on these systems works well, as shown ...