Some of the most revealing signals about human health are carried in fluids that are almost impossible to measure. Tears, ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

Hot topic Fluorescent nanodiamonds coated with a heat-releasing polymer act as both a heat source and a sensor for intracellular measurements of thermal conductivity. (Courtesy: iStock/Mervana) A ...

The power-semiconductor industry is experiencing growth exceeding 7% per year, driven by new applications such as electric cars and new technologies like silicon-carbide (SiC) and gallium-nitride ...

At NETZSCH, we are committed to pushing the boundaries of technology and innovation in thermal analysis. Today, we are proud to announce the launch of the NETZSCH LFA 717 HyperFlash, a ...

Some of the most revealing signals about human health are carried in fluids that are almost impossible to measure. Tears, cerebrospinal fluid, and ...

You would use flow-through conductivity sensors in “any application where the measurement of liquid conductivity or the percent concentration of a liquid is required,” states Nick Nichols, product ...

Researchers have made the most sensitive measurements to date of how quickly electric charge moves in silicon, a gauge of its performance as a semiconductor. Silicon, the best-known semiconductor, is ...