Scientists around the world have been searching food, water and other environmental media for microplastics and for per- and ...

A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature superconductivity. Physicist Dr. Sebastian Paeckel has developed a method that can ...

Introduction Saliva is the most promising biofluid to monitor the physiological state of athletes, because this method is not invasive and has low contamination risks. The characterization of saliva ...

Mathematicians are still trying to understand fundamental properties of the Fourier transform, one of their most ubiquitous and powerful tools. A new result marks an exciting advance toward that goal.

Abstract: In actual power production, it is difficult to collect large samples of partial discharge signals from power equipment. Therefore, in order to achieve partial discharge pattern recognition ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

Some of the most common life detection techniques for planetary exploration focus on organic molecule characterization, but life on other planets may not chemically resemble that found on Earth.

Understanding the fields induced by material inhomogeneities has been central to physics and materials science, with foundational work by Maxwell, Rayleigh, and Einstein. Eshelby’s equivalent ...

Abstract: Time-frequency (TF) analysis is an important tool for seismic signal analysis, and through traditional methods, it is difficult to achieve high TF resolution and energy aggregation. In this ...

The fault diagnosis of the inverter is fundamental to energy intelligence. Due to the complex characteristics of the inverter (e.g., high-dimensional decision and poor stability), it is challenging to ...

Built upon the ubiquitous Fourier transform, the mathematical tools known as wavelets allow unprecedented analysis and understanding of continuous signals. In an increasingly data-driven world, ...