Lifeboat Foundation

In an ongoing game of cosmic hide and seek, scientists have a new tool that may give them an edge. Physicists at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.

The program will sift through reams of data gathered by spacecraft in the magnetosphere, the region of outer space strongly affected by Earth’s magnetic field, and flag telltale signs of the elusive blobs. Using this technique, scientists hope to learn more about the processes governing magnetic reconnection, a process that occurs in the magnetosphere and throughout the universe that can damage communications satellites and the electrical grid.

Scientists believe that machine learning could improve plasmoid-finding capability, aid the basic understanding of magnetic reconnection and allow researchers to better prepare for the aftermath of reconnection-caused disturbances.

Is nature really as strange as quantum theory says—or are there simpler explanations? Neutron measurements at TU Wien prove that it doesn’t work without the strange properties of quantum theory.

Can a particle be in two different places at the same time? In quantum physics, it can: Quantum theory allows objects to be in different states at the same time—or more precisely: in a superposition state, combining different observable states. But is this really the case? Perhaps the particle is actually in a very specific state, at a very specific location, but we just don’t know it?

The question of whether the behavior of quantum objects could perhaps be described by a simple, more classical theory has been discussed for decades. In 1985, a way of measuring this was proposed: the so-called “Leggett-Garg inequality.” Any theory that describes our world without the strange superposition states of quantum theory must obey this inequality.

Researchers have developed a new two-photon polymerization technique that uses two lasers to 3D print complex high-resolution structures. The advance could make this 3D printing process less expensive, helping it find wider use in a variety of applications.

Two-photon polymerization is an advanced additive manufacturing technique that traditionally uses femtosecond lasers to polymerize materials in a precise, 3D manner. Although this process works well for making high-resolution microstructures, it isn’t widely used in manufacturing because femtosecond lasers are expensive and increase the cost of printing parts.

“We combined a relatively low-cost laser emitting visible light with a femtosecond laser emitting infrared pulses to reduce the power requirement of the femtosecond laser,” said research team leader Xianfan Xu from Purdue University. “In this way, with a given femtosecond laser power, the printing throughput can be increased, leading to a lower cost for printing individual parts.”

New findings reveal that individuals with an average sense of smell may unknowingly be living with natural gas leaks. According to a peer-reviewed study in the scientific journal Environmental Research Letters, minor leaks can deteriorate indoor air quality by emitting various hazardous pollutants, such as benzene—a carcinogen detected in 97% of natural gas samples throughout North America.

“While these smaller leaks are not large enough to cause gas explosions, hard-to-smell leaks are common,” said lead author and PSE Healthy Energy Scientist Sebastian Rowland. “The fact that they are so small makes them hard to identify and fix, which can lead to a persistent indoor source of benzene and methane.”

In a single leap from tabletop to the microscale, engineers at Stanford University have produced the world’s first practical titanium-sapphire laser on a chip.

Researchers have developed a chip-scale Titanium-sapphire laser that is significantly smaller and less expensive than traditional models, making it accessible for broader applications in quantum optics, neuroscience, and other fields. This new technology is expected to enable labs to have hundreds of these powerful lasers on a single chip, fueled by a simple green laser pointer.

As lasers go, those made of Titanium-sapphire (Ti: sapphire) are considered to have “unmatched” performance. They are indispensable in many fields, including cutting-edge quantum optics, spectroscopy, and neuroscience. But that performance comes at a steep price. Ti: sapphire lasers are big, on the order of cubic feet in volume. They are expensive, costing hundreds of thousands of dollars each. And they require other high-powered lasers, themselves costing $30,000 each, to supply them with enough energy to function.

A recent study has unveiled the origins of the mysterious “heartbeats” observed in neutron stars, relating them to glitches caused by the dynamics of superfluid vortices.

Researchers found that these glitches follow a power-law distribution similar to other complex systems and developed a model based on quantum vortex networks that aligns with observed data without extra tuning.

Discovering Neutron Stars’ Heartbeats

A groundbreaking study has demonstrated the use of liquid crystals for efficient and tunable spontaneous parametric down-conversion (SPDC), expanding the potential of quantum light sources beyond traditional solid materials.

Spontaneous parametric down-conversion (SPDC), a key method for generating entangled photons used in quantum physics and technology, has traditionally been restricted to solid materials. However, researchers at the Max Planck Institute for the Science of Light (MPL) and the Jozef Stefan Institute in Ljubljana, Slovenia, have recently achieved a breakthrough by demonstrating SPDC in a liquid crystal for the first time. Their findings, published in Nature, pave the way for the development of a new generation of quantum sources that are both efficient and tunable by electric fields.

The splitting of a single photon in two is one of the most useful tools in quantum photonics. It can create entangled photon pairs, single photons, squeezed light, and even more complicated states of light which are essential for optical quantum technologies. This process is known as spontaneous parametric down-conversion (SPDC).

Researchers found that inhibiting the degradation of vitamin B6 in cells using 7,8-Dihydroxyflavone enhances brain functions and could offer a new treatment method for mental and neurodegenerative disorders.

Vitamin B6 plays a crucial role in brain metabolism. Consequently, low levels of vitamin B6 are linked to memory and learning impairments, depressive moods, and clinical depression in various mental disorders. In the elderly, insufficient vitamin B6 is associated with memory decline and dementia.

Although some of these observations were made decades ago, the exact role of vitamin B6 in mental illness is still largely unclear. What is clear, however, is that an increased intake of vitamin B6 alone, for example in the form of dietary supplements, is insufficient to prevent or treat disorders of brain function.

Recent research has advanced the development of electron-on-solid-neon qubits, revealing key insights that improve quantum computing by extending qubit coherence times and optimizing their design.

Quantum computers have the potential to be revolutionary tools for their ability to perform calculations that would take classical computers many years to resolve.

But to make an effective quantum computer, you need a reliable quantum bit, or qubit, that can exist in a simultaneous 0 or 1 state for a sufficiently long period, known as its coherence time.