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Researchers Takuma Nakamura, Kazuki Hashimoto, and Takuro Ideguchi of the Institute for Photon Science and Technology at the University of Tokyo have increased by 100-fold the measurement rate of Raman spectroscopy, a common technique for measuring the “vibrational fingerprint” of molecules in order to identify them.

As the measurement rate has been a major limiting factor, this improvement contributes to advancements in many fields that rely on identifying molecules and cells, such as biomedical diagnostics and material analytics. The findings were published in the journal Ultrafast Science.

Identifying various types of molecules and cells is a crucial step in both basic and applied science. Raman spectroscopy is a widely used measurement technique for this purpose. When a laser beam is projected onto molecules, the light interacts with the vibrations and rotations of molecular bonds, shifting the frequency of the scattering light. The scattering spectra thus measured is a molecule’s unique “vibrational fingerprint.”

A team of researchers has for the first time successfully used lasers to generate guided sound waves on the surface of a microchip. These acoustic waves, akin to the surface waves produced during an earthquake, travel across the chip at frequencies nearly a billion times higher than those found in earth tremors.

By containing the sound wave on the surface of a chip, it can more easily interact with the environment, making it a perfect candidate for advanced sensing technologies.

The findings are published in APL Photonics.

Researchers at Monash University have developed an artificial intelligence (AI) model that significantly improves the accuracy of four-dimensional scanning transmission electron microscopy (4D STEM) images.

Called unsupervised deep denoising, this model could be a game-changer for studying materials that are easily damaged during imaging, like those used in batteries and solar cells.

The research from Monash University’s School of Physics and Astronomy, and the Monash Center of Electron Microscopy, presents a novel machine learning method for denoising large electron microscopy datasets. The study was published in npj Computational Materials.

For the first time since the discovery of the material MnBi₂Te₄ (MBT), researchers at the University of Twente have successfully made it behave like a superconductor. This marks an important step in understanding MBT and is significant for future technologies, such as new methods of information processing and quantum computing.

MBT is a recently discovered material attracting attention due to its unique magnetic and topological properties. In their research, the scientists examined how electricity behaves in the material. The findings are published in the journal Communications Materials.

MBT’s topological properties cause electrons to move only along the edges of the material, and in theory, they should only move in a clockwise direction. However, the experiments at Twente demonstrated that under certain conditions, the electrons can rotate both clockwise and counterclockwise.

Science laboratories across disciplines—chemistry, biochemistry and materials science—are on the verge of a sweeping transformation as robotic automation and AI lead to faster and more precise experiments that unlock breakthroughs in fields like health, energy and electronics.

This is according to UNC-Chapel Hill researchers in a paper titled “Transforming Science Labs into Automated Factories of Discovery,” published in Science Robotics.

“Today, the development of new molecules, materials and chemical systems requires intensive human effort,” said Dr. Ron Alterovitz, senior author of the paper and Lawrence Grossberg Distinguished Professor in the Department of Computer Science. “Scientists must design experiments, synthesize materials, analyze results and repeat the process until desired properties are achieved.”

The hypothetical tachyon particle could potentially send messages backward in time if it exists.

‘’Exploring black holes’’ by Wheeler and Taylor.

A primer on black holes and general relativity.

https://pubs.aip.org/aapt/ajp/article/89/1/121/1045741/Exploring-Black-Holes

Continue reading “Exploring Black Holes, 2nd edition, FREE download” »

The biological and technological race to live forever is very much underway.

These scientists aren’t focused on the existence of quantum entanglement, but are keen on uncovering how it begins — how exactly do two particles become quantum entangled?

Using advanced computer simulations, they’ve managed to peek into processes that happen on attosecond timescales — a billionth of a billionth of a second.

Quantum entanglement is a strange and fascinating phenomenon where two particles become so interconnected that they share a single state.