News

Scientists are striving to discover new semiconductor materials that could boost the efficiency of solar cells and other ...
Researchers at Case Western Reserve University have developed an environmentally safer type of plastic that can be used for ...
Many modern devices—from cellphones and computers to electric vehicles and wind turbines—rely on strong magnets made from ...
Explore how Inkbit and mmWave technologies intersect with the introduction of Cyclic Olefin Thermosets for superior ...
In a major breakthrough for materials science and electronic innovation, Murata Manufacturing Co., Ltd. and the National Institute for Materials Science (NIMS) have unveiled the largest-ever database ...
In vertically integrated transistor structures, understanding the out-of-plane dielectric properties of 2D materials is crucial. We performed first-principles calculations to investigate the ...
This paper investigates means of exploitation of space charge measurement results in order to achieve information about chemical, physical and microstructural properties of dielectric materials. The ...
In recent years, materials engineers have turned to machine learning models to predict which types of materials can possess specific properties such as electronic band gaps, formation energies, and ...
Pressure is a critical factor affecting the dielectric properties of rock materials. Previous studies have shown that the microwave dielectric properties of mineral rocks undergo regular changes under ...
New machine learning model quickly and accurately predicts dielectric function. Credit: University of Tokyo Researchers have successfully developed an innovative machine-learning model designed to ...
Because next-generation communication devices use the millimeter-wave frequency band (30 to 300 GHz), they require materials with low dielectric properties, which minimize transmission loss.