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Nov 19, 2024

Team creates world’s first tunable-wavelength blue semiconductor laser

Posted by in categories: innovation, physics

In a new study, researchers at Osaka University have created the world’s first compact, tunable-wavelength blue semiconductor laser, a significant advancement for far-ultraviolet light technology with promising applications in sterilization and disinfection.

This innovative laser employs a specially-designed periodically slotted structure in nitride semiconductors, making possible a blue wavelength laser that is both practical and adaptable for various disinfection technologies. The work is published in the journal Applied Physics Express.

The research team had previously demonstrated second-harmonic generation at wavelengths below 230 nm by using transverse quasi-phase-matching devices crafted from aluminum nitride and vertical microcavity wavelength conversion devices incorporating SrB4O7 nonlinear optical crystals.

Nov 19, 2024

Long-lived Schrödinger’s-cat state achieves Heisenberg-limited sensitivity

Posted by in categories: particle physics, quantum physics

A team led by Prof. Lu Zhengtian and Researcher Xia Tian from the University of Science and Technology of China (USTC) realized a Schrödinger-cat state with minute-scale lifetime using optically trapped cold atoms, significantly enhancing the sensitivity of quantum metrology measurements. The study was published in Nature Photonics.

In quantum metrology, particle spin not only serves as a potent probe for measuring magnetic fields, inertia, and a variety of physical phenomena, but also holds the potential for exploring new physics beyond the Standard Model. The high-spin Schrödinger-cat state, a superposition of two oppositely directed and furthest-apart spin states, offers significant advantages for spin measurements.

On one hand, the high spin quantum number amplifies the precession frequency signal. On the other hand, the cat states are insensitive to some environmental interference, thus suppressing measurement noise. However, one major technical challenge in applying cat states in experiments is how to maintain a sufficiently long coherence time.

Nov 19, 2024

Physicists predict exotic form of matter with potential for quantum computing

Posted by in categories: computing, quantum physics

MIT physicists have shown that it should be possible to create an exotic form of matter that could be manipulated to form the qubit (quantum bit) building blocks of future quantum computers that are even more powerful than the quantum computers in development today.

The work builds on a discovery last year of materials that host electrons that can split into fractions of themselves but, importantly, can do so without the application of a magnetic field. The general phenomenon of electron fractionalization was first discovered in 1982 and resulted in a Nobel Prize.

That work, however, required the application of a magnetic field. The ability to create the fractionalized electrons without a magnetic field opens new possibilities for basic research and makes the materials hosting them more useful for applications.

Nov 19, 2024

Experimental Demonstration of Mode-Coupled and High-Brightness Self-Amplified Spontaneous Emission in an X-Ray Free-Electron Laser

Posted by in category: futurism

The first experimental demonstration of two schemes to enhance the longitudinal coherence of SASE-XFEL pulses shows that the SASE pulse bandwidth can be reduced by up to a factor of three.

Nov 19, 2024

Psychoacoustic and Archeoacoustic nature of ancient Aztec skull whistles

Posted by in category: futurism

A series of psychoacoustic and neuroimaging studies reveal the effect that the sound of Aztec skull whistles has on modern listeners; the sound, which is perceived as a mixture of voice-like, scream-like, and technological, triggers affective processing.

Nov 18, 2024

Fat cells have epigenetics-based memory: Researchers discover mechanism behind weight loss yo-yo effect

Posted by in categories: biotech/medical, chemistry, genetics, health

Can weight loss leave a lasting imprint on our fat cells?

Losing weight is often touted as a cornerstone of better health, particularly for people dealing with obesity and its associated health risks.


Anyone who has ever tried to get rid of a few extra kilos knows the frustration: the weight drops initially, only to be back within a matter of weeks—the yo-yo effect has struck. Researchers at ETH Zurich have now been able to show that this is all down to epigenetics.

Continue reading “Fat cells have epigenetics-based memory: Researchers discover mechanism behind weight loss yo-yo effect” »

Nov 18, 2024

Unmasking the Machine: How AI Can Detect an AI Essay or Article?

Posted by in category: robotics/AI

This member-only story is on us. Upgrade to access all of Medium.

Nov 18, 2024

ACT Study contributes to understanding Alzheimer’s disease in brain cells

Posted by in categories: biotech/medical, robotics/AI

Using data and samples from volunteers, including Kaiser Permanente Washington members participating in the Adult Changes in Thought Study (ACT Study), the researchers used advanced genomic technologies and machine learning models to create a timeline of the cellular and molecular changes caused by…


Mapping the disease at the cellular level identifies possible new treatment targets.

Nov 18, 2024

Can we automate science? Sam Rodriques is already doing it

Posted by in categories: robotics/AI, science

People need to anticipate the revolution that’s coming in how humans and AI will collaborate to create discoveries, argues Sam Rodrigues.

Nov 18, 2024

Machine learning and supercomputer simulations predict interactions between gold nanoparticles and blood proteins

Posted by in categories: biotech/medical, chemistry, nanotechnology, robotics/AI, supercomputing

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate the efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.

Hybrid nanostructures between biomolecules and inorganic nanomaterials constitute a largely unexplored field of research, with the potential for novel applications in bioimaging, biosensing, and nanomedicine. Developing such applications relies critically on understanding the dynamical properties of the nano–bio interface.

Modeling the properties of the nano-bio interface is demanding since the important processes such as electronic charge transfer, or restructuring of the biomolecule surface can take place in a wide range of length and time scales, and the atomistic simulations need to be run in the appropriate aqueous environment.

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