Category Physics

Controlling Light with Light

picture of computer chip with light
SEAS researchers have developed a new platform for all-optical computing, meaning computations done solely with beams of light. 

Researchers develop a new platform for all-optical computing. The future of computation is bright – literally.

Researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), in collaboration with researchers at McMaster University and University of Pittsburgh, have developed a new platform for all-optical computing, meaning computations done solely with beams of light.

“Most computation right now uses hard materials such as metal wires, semiconductors and photodiodes to couple electronics to light,” said Amos Meeks, a graduate student at SEAS and co-first author of the research...

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First All-Optical, Stealth Encryption Technology developed

Concept Optical Encryption Technology
“Basically, the innovative breakthrough is that if you can’t detect it, you can’t steal it.” — Prof. Dan Sadot, Director of the Optical Communications Research Laboratory

Optical end-to-end solution includes encryption, transmission, decryption, and detection. BGN Technologies, the technology-transfer company of Ben-Gurion University of the Negev (BGU), Israel, is introducing the first all-optical “stealth” encryption technology that will be significantly more secure and private for highly sensitive cloud-computing and data center network transmission. The new all-optical encryption innovation will be introduced at the Cybertech Global Tel Aviv conference taking place January 28-30, 2020 in Tel Aviv, Israel.

“Today, information is still encrypted using digital techniques...

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Self-Learning Heat­ing Control system Saves Energy

The “Urban Mining and Recycling” unit in the NEST research building has two student rooms. One of them was equipped with a self-learning heating and cooling control system. Image: Zooey Braun, Stuttgart

Can buildings learn to save all by themselves? Researchers think so. In their experiments, they fed a new self-learning heat­ing control system with temperature data from the previous year and the current weather forecast. The ‘smart’ control system was then able to assess the building’s behavior and act with good anticipation. The result: greater comfort, lower energy costs.

Factory halls, airport terminals and high-rise office buildings are often equipped with automated “anticipatory” heating systems...

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Method Detects Defects in 2D Materials for future Electronics, Sensors

A yellow laser beam shines on a chip and reveals a grain boundary defect
A laser beam (yellow) reflects off a 2D material (orange) highlighting a grain boundary defect in the atomic lattice.
 IMAGE: MRI/PENN STATE

To further shrink electronic devices and to lower energy consumption, the semiconductor industry is interested in using 2D materials, but manufacturers need a quick and accurate method for detecting defects in these materials to determine if the material is suitable for device manufacture. Now a team of researchers has developed a technique to quickly and sensitively characterize defects in 2D materials.

Two-dimensional materials are atomically thin, the most well-known being graphene, a single-atom-thick layer of carbon atoms.

“People have struggled to make these 2D materials without defects,” said Mauricio Terrones, Verne M...

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