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Cerebrospinal fluid motion in the brain captured in remarkable detail

Cerebrospinal fluid (CSF) is a clear and watery liquid that flows in and around the brain and spinal cord. Its functions include protecting parts of the nervous system, delivering nutrients and removing metabolic waste.

Some neurological diseases, including Alzheimer’s disease, have been linked to the abnormal accumulation of proteins in the brain, which can cause damage to neurons. This accumulation of proteins could potentially be linked to variations in the flow of CSF in specific brain regions.

Researchers at Leiden University Medical Center, University of Amsterdam and the German Center for Neurodegenerative Diseases (DZNE) recently developed a new approach to study the motion of CSF, which is based on the widely used imaging technique magnetic resonance imaging (MRI).

Engineers repurpose a mosquito proboscis to create a 3D printing nozzle

When it comes to innovation, engineers have long proved to be brilliant copycats, drawing inspiration directly from nature. But now some scientists are moving beyond simple imitation to incorporating natural materials into their designs. Stuck for ideas on how to create ultra-fine, low-cost 3D printing nozzles, researchers at McGill University in Canada repurposed the proboscis of a deceased female mosquito to create a sustainable, high-resolution 3D printing tip.

The work is published in the journal Science Advances.

High-resolution 3D printing is a process that creates three-dimensional objects with extremely fine details and very smooth surfaces. The technology is used in numerous fields such as aerospace, dentistry and biomedical research. However, its level of precision comes at a steep cost. The tiny nozzles can cost more than $80 per tip and are made of metal or plastic, both of which are nonbiodegradable.

Machine learning algorithm rapidly reconstructs 3D images from X-ray data

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have pioneered a new machine learning method—called X-RAI (X-Ray single particle imaging with Amortized Inference)—that can “look” at millions of X-ray laser-generated images and create a three-dimensional reconstruction of the target particle. The team recently reported their findings in Nature Communications.

X-RAI’s ability to sort through a massive number of images and learn as it goes could unlock limits in data-gathering, allowing researchers to see molecules up close—and perhaps even on the move. “There is really no limit” to the dataset size it can handle, said SLAC staff scientist Frédéric Poitevin, one of the study’s principal investigators.

How small can optical computers get? Scaling laws reveal new strategies

The research, published in Nature Communications, addresses one of the key challenges to engineering computers that run on light instead of electricity: making those devices small enough to be practical. Just as algorithms on digital computers require time and memory to run, light-based systems also require resources to operate, including sufficient physical space for light waves to propagate, interact and perform analog computation.

Lead authors Francesco Monticone, associate professor of electrical and computer engineering, and Yandong Li, Ph.D. ‘23, postdoctoral researcher, revealed scaling laws for free-space optics and photonic circuits by analyzing how their size must grow as the tasks they perform become more complex.

Nature-inspired hydrogel offers power-free thermal management

The poplar (Populus alba) has a unique survival strategy: when exposed to hot and dry conditions, it curls its leaves to expose the ventral surface, reflecting sunlight, and at night, the moisture condensed on the leaf surface releases latent heat to prevent frost damage. Plants have evolved such intricate mechanisms in response to dynamic environmental fluctuations in diurnal and seasonal temperature cycles, light intensity, and humidity, but there have been few instances of realizing such a sophisticated thermal management system with artificial materials.

Now, a KAIST research team has developed an artificial material that mimics the thermal management strategy of the poplar leaf, significantly increasing the applicability of power-free, self-regulating thermal management technology in applications such as building facades, roofs, and temporary shelters. The paper is published in the journal Advanced Materials.

The research team led by Professor Young Min Song of the School of Electrical Engineering, in collaboration with Professor Dae-Hyeong Kim’s team at Seoul National University, has developed a flexible hydrogel-based “Latent-Radiative Thermostat (LRT)” that mimics the natural heat regulation strategy of the poplar leaf.

Watching gold’s atomic structure change at 10 million times Earth’s atmospheric pressure

The inside of giant planets can reach pressures more than one million times the Earth’s atmosphere. As a result of that intense pressure, materials can adopt unexpected structures and properties. Understanding matter in this regime requires experiments that push the limits of physics in the laboratory.

In a recent paper published in Physical Review Letters, researchers at Lawrence Livermore National Laboratory (LLNL) and their collaborators conducted such experiments with gold, achieving the highest-pressure structural measurement ever made for the material. The results, which show gold switching structure at 10 million times the Earth’s atmospheric pressure, are essential for planetary modeling and fusion science.

“These experiments uncover the atomic rearrangements that occur at some of the most extreme pressures achievable in laboratory experiments,” said LLNL scientist and author Amy Coleman.

New scalable single-spin qubits could simplify future processors

Quantum computers, which operate leveraging effects rooted in quantum mechanics, have the potential of tackling some computational and optimization tasks that cannot be solved by classical computers. Instead of bits (i.e., binary digits), which are the basic units of information in classical computers, quantum computers rely on so-called qubits.

Qubits, the quantum equivalent of bits, are not restricted to binary states (i.e., 0 or 1), but can exist in superpositions of these states. One common type of qubits used to fabricate quantum processors are so-called semiconductor .

Quantum dots are small electrically confined regions that can trap individual charge carriers. To manipulate these qubits, most quantum engineers currently rely on high-frequency , as opposed to low-frequency baseband signals.

Humans bring gender bias to their interactions with AI, finds study

Humans bring gender biases to their interactions with Artificial Intelligence (AI), according to new research from Trinity College Dublin and Ludwig-Maximilians Universität (LMU) Munich.

The study involving 402 participants found that people exploited female-labeled AI and distrusted male-labeled AI to a comparable extent as they do human partners bearing the same gender labels.

Notably, in the case of female-labeled AI, the study found that exploitation in the Human-AI setting was even more prevalent than in the case of human partners with the same gender labels.

Theia and Earth were neighbors, new research suggests

About 4.5 billion years ago, the most momentous event in the history of Earth occurred: a huge celestial body called Theia collided with the young Earth. How the collision unfolded and what exactly happened afterward has not been conclusively clarified. What is certain, however, is that the size, composition, and orbit of Earth changed as a result—and that the impact marked the birth of our constant companion in space, the moon.

What kind of body was it that so dramatically altered the course of our planet’s development? How big was Theia? What was it made of? And from which part of the solar system did it hurtle toward Earth?

Finding answers to these questions is difficult. After all, Theia was completely destroyed in the collision. Nevertheless, traces of it can still be found today, for example in the composition of present-day Earth and the moon.

Bright squeezed vacuum reveals hidden quantum effects in strong-field physics

In a new study published in Nature Physics, researchers have demonstrated that quantum light, particularly bright squeezed vacuum (BSV), can drive strong-field photoemission at metal needle tips.

Attosecond science—the study of electron behavior on timescales of 10⁻¹⁸ seconds—has traditionally relied on intense laser pulses that correspond to “coherent states” of light. They function as classical electromagnetic waves with predictable, oscillating electric fields that push electrons to high energies.

When electrons rescatter from surfaces under this intense illumination, they produce characteristic signatures: a plateau in their energy spectrum followed by a sharp cut-off. These features have become central to probing matter with attosecond precision.

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