Some molecules respond to external light pulses by changing their structure and holding certain states that can be switched from one to another. These are commonly referred to as photoswitches and usually have two possible ...
Devices that capture the brilliant light from millions of quantum dots, including chip-scale lasers and optical amplifiers, have made the transition from laboratory experiments to commercial products. But newer types of quantum-dot ...
Besides being "a girl's best friend," diamonds have broad industrial applications, such as in solid-state electronics. New technologies aim to produce high-purity synthetic crystals that become excellent semiconductors when ...
Stanford researchers are getting closer to building a tiny electron accelerator based on "accelerator-on-a-chip" technology with broad potential applications in studying physics as well as medical and industrial uses.
At the heart of advancing semiconductor chip technology lies a critical challenge: creating smaller, more efficient electronic components. This challenge is particularly evident in the field of lithography, the process used ...
A single-photon detector (SPD) is sensitive to incidence of individual quanta of light and has many applications in photonics, such as fluorescence measurements, laser ranging, optical time-domain reflectometer, and quantum ...
Photonic integrated circuits are an important next-wave technology. These sophisticated microchips hold the potential to substantially decrease costs and increase speed and efficiency for electronic devices across a wide ...
Using a novel microfluidic chip, ETH researchers led by Professor Roman Stocker and Estelle Clerc have shown that bacteria not only recognize small food molecules, but also swim towards large, complex polymers. A startup ...
Similar to electronics, photonic circuits can be miniaturized onto a chip, leading to a so-called photonic integrated circuit (PIC). Although these developments are more recent than for electronics, this field is rapidly ...
Recent advancements in AI and more specifically large language models such as ChatGPT have put a strain on data centers. AI models require huge amounts of data to train, and in order to move data between the processing units ...
