ScienceDaily: Computers & Math News

Researchers have developed an innovative terahertz imager microchip that can enable devices to detect and create images through obstacles that include fog, smoke, dust and snow.

Researchers have developed a computationally efficient method that could be used to identify anomalies in the U.S. power grid in real time. The novel technique augments a special type of machine-learning model with a powerful graph structure, and does not require any labeled data to train.

Researchers developed a technique that effectively protects computer programs' secret information from memory-timing side channel attacks, while enabling faster computation than other security schemes.

Scientists developed a neural network deep learning technique to extract hidden turbulent motion information from observations of the Sun. Tests on three different sets of simulation data showed that it is possible to infer the horizontal motion from data for the temperature and vertical motion. This technique will benefit solar astronomy and other fields such as plasma physics, fusion science, and fluid dynamics.

A research team created a new way to sort living cells suspended in fluid using an all-in-one operation in a lab-on-chip that required only 30 minutes for the entire separation process. This device eliminated the need for labor-intensive sample pre-treatment and chemical tagging techniques while preserving the original structure of the cells. They constructed a prototype of a microfluidic chip that uses electric fields to gently coax cells in one direction or another in dielectrophoresis, a phenomenon or movement of neutral particles when they are subjected to an external non-uniform electric field.

Axions are today's most popular candidate for dark matter, and numerous experiments are trying to detect them in microwave cavities where the axion should rarely convert into an electromagnetic wave. But a new simulation of the production of axions in the early universe provides a more refined mass estimate, and higher frequency for the EM wave, that is outside the range of these experiments. The new mass comes from adaptive mesh refinement in supercomputer simulations.

The building blocks of life-saving therapeutics could be developed in days instead of years thanks to new software that simulates evolution. Proseeker is the name of a new computational tool that mimics the processes of natural selection, producing proteins that can be used for a range of medicinal and household uses.

Liquid crystals derived from borophene have risen in popularity, owing to their immense applicability in optoelectronic and photonic devices. However, their development requires a very narrow temperature range, which hinders their large-scale application. Now, researchers have investigated a liquid-state borophene oxide, discovering that it exhibited high thermal stability and optical switching behavior even at low voltages. These findings highlight the strong potential of borophene oxide-derived liquid crystals for use in widespread applications.