Precise electrical stimulation is essential for modern neural interfaces, but unwanted current spread often activates off-target cells and limits resolution. A new microneedle electrode design ...

Electrons confined within self-assembled phosphorus chains have been shown to move in a strictly one-dimensional manner, marking a significant advance in condensed matter physics and nanomaterials ...

For the first time, researchers have shown that self-assembled phosphorus chains can host genuinely one-dimensional electron ...

MXenes are an emerging class of two-dimensional materials whose properties depend sensitively on the atoms bound to their surfaces. A new synthesis approach now allows researchers to control these ...

Abstract: This study proposes a three-dimensional room transfer function (RTF) parameterization method based on multiple concentric planar circular arrays, which exhibits robustness to variations in ...

Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...

The multifaceted types of cancerous cells are known as a significant challenge for global health [1]. Cancer is identified as one of the highest contributors to the world people mortality in the last ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Osmotic energy, existing between the seawater and river water, is a renewable energy source, which can be directly converted ...

Researchers in Australia have unveiled the largest quantum simulation platform built to date, opening a new route to exploring the complex behavior of quantum materials at unprecedented scales.

Technique lays the groundwork for neutral-atom quantum computers with more than 100 000 qubits, say physicists ...