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Water-based electrolyte helps create safer and long-lasting Zn-Mn batteries

Many countries worldwide are increasingly investing in new infrastructure that enables the production of electricity from renewable energy sources, particularly wind and sunlight. To make the best of these energy solutions, one should also be able to reliably store the excess energy created during periods of intense sunlight or wind, so that it can be used later in times of need.

One promising type of battery for this purpose is based on zinc-manganese (Zn-Mn) and utilizes aqueous (i.e., water-based) electrodes instead of flammable organic electrolytes. These batteries rely on processes known as electrodeposition and dissolution, via which solid materials form and dissolve on electrodes as the battery is charging and discharging.

In Zn-Mn batteries, Zn serves as the anode (i.e., the electrode that releases electrons) and manganese dioxide (MnO₂) the cathode (i.e., the electrode from which electrons are gained). A key chemical reaction prompting their functioning, known as the MnO₂/Mn²⁺ conversion reaction, typically can only occur in acidic conditions.

Bio-inspired chip helps robots and self-driving cars react faster to movement

Robots and self-driving cars could soon benefit from a new kind of brain-inspired hardware that can allegedly detect movement and react faster than a human. A new study published in the journal Nature Communications details how an international team built their neuromorphic temporal-attention hardware system to speed up automated driving decisions.

The problem with current robotic vision and self-driving vehicles is a significant delay in processing what they see. While today’s top AI programs can recognize objects accurately, the calculations are so complex that they can take up to half a second to complete. That may not sound like a lot, but at highway speeds, even a one-second delay means a car travels 27 meters before it even begins to react. That is too long and too slow a reaction time.

To solve this problem, the team worked on a hardware solution rather than tinkering with software, modeling it on how human vision works. When we view a situation, our visual system doesn’t analyze every detail at once. It first detects changes in brightness and movement, then processes the more complex details later.

Only humans have chins: Study shows it’s an evolutionary accident

Dashiell Hammett mentioned Sam Spade’s jutting chin in the opening sentence of his novel, “The Maltese Falcon.” Spade’s chin was among the facial features Hammett used to describe his fictional detective’s appearance, but starting with that distinctive chin was—at least from an evolutionary perspective—an unintentional redundancy, since every chin is distinctive in the sense that humans are the only primates to possess that physical characteristic.

Chimpanzees, humans’ closest living relatives, do not have a chin. Neither did Neanderthals, Denisovans, or any other extinct human species. Humans, it turns out, have a unique capacity to “take it on the chin” because we’re uniquely in possession of that physical feature. That exclusive nature makes the chin well suited for identifying Homo sapiens in the fossil record.

In simplest terms, a chin is a bony projection of the lower jaw. So why is it there? How and why did it evolve?

New experiments suggest Earth’s core contains up to 45 oceans’ worth of hydrogen

Scientists have long known that Earth’s core is mostly made of iron, but the density is not high enough for it to be pure iron, meaning lighter elements exist in the core, as well. In particular, it’s suspected to be a major reservoir of hydrogen. A new study, published in Nature Communications, supports this idea with results suggesting the core contains up to 45 oceans’ worth of hydrogen. These results also challenge the idea that most of Earth’s water was delivered by comets early on.

Because of the extreme conditions in Earth’s core and its distance from the surface, analyzing its composition presents difficulties. Additionally, many techniques are inadequate for resolving hydrogen because it is the lightest and smallest element. Earlier estimates relied on indirect methods, such as inferring hydrogen composition from lattice expansion in iron hydrides. These difficulties have led to highly uncertain estimates of hydrogen in the core, spanning four orders of magnitude.

The team involved in the new study took a different approach, using laser-heated diamond anvil cells to simulate high-pressure, high-temperature core conditions, up to 111 GPa and around 5,100 Kelvin. The team placed core-like iron samples and hydrous silicate glass, representing Earth’s early magma oceans, in the diamond anvil cells to induce melting, similar to conditions in the core.

The origin of magic numbers: Why some atomic nuclei are unusually stable

For the first time, physicists have developed a model that explains the origins of unusually stable magic nuclei based directly on the interactions between their protons and neutrons. Published in Physical Review Letters, the research could help scientists better understand the exotic properties of heavy atomic nuclei and the fundamental forces that hold them together.

While every chemical element is defined by a fixed number of protons in its atomic nucleus, the number of neutrons it contains is far less constrained. For almost every known element, there are at least two different nuclear configurations, or isotopes, which vary only in their number of neutrons.

However, if the number of protons and neutrons becomes too unbalanced in either direction, the nucleus becomes unstable. Since heavier elements tend to have fewer stable isotopes, these radioactive nuclei grow increasingly rare as this imbalance increases. Yet for certain specific numbers of protons and neutrons (collectively known as “nucleons”), some isotopes are found to be exceptionally stable, for reasons that physicists have struggled to fully explain.

Ammonia leaks can be spotted in under two seconds using new alveoli-inspired droplet sensor

Researchers from Guangxi University, China have developed a new gas sensor that detects ammonia with a record speed of 1.4 seconds. The sensor’s design mimics the structure of alveoli—the tiny air sacs in human lungs—while relying on a triboelectric nanogenerator (TENG) that converts mechanical energy into electrical energy. The sensor uses a process that is driven by A-droplets, which are tiny water droplets containing a trapped air bubble. These droplets exploit ammonia’s affinity for water to rapidly capture NH₃ when it is present.

When an ammonia-laden droplet falls onto the sensor, its mechanical impact completes an electrical circuit, generating signals that are converted into accurate gas measurements at a speed that exceeds existing ammonia gas sensors.

To take detection precision a step further, the team integrated an AI model that analyzes electrical signals and converts them into time-frequency images. After training on these images, the system classified ammonia into five concentration levels (0–200 ppm), achieving up to 98.4% detection accuracy.

A familiar magnet gets stranger: Why cobalt’s topological states could matter for spintronics

The element cobalt is considered a typical ferromagnet with no further secrets. However, an international team led by HZB researcher Dr. Jaime Sánchez-Barriga has now uncovered complex topological features in its electronic structure. Spin-resolved measurements of the band structure (spin-ARPES) at BESSY II revealed entangled energy bands that cross each other along extended paths in specific crystallographic directions, even at room temperature. As a result, cobalt can be considered as a highly tunable and unexpectedly rich topological platform, opening new perspectives for exploiting magnetic topological states in future information technologies.

The findings are published in the journal Communications Materials.

Cobalt is an elementary ferromagnet, and its properties and crystal structure have long been known. However, an international team has now discovered that cobalt hosts an unexpectedly rich topological electronic structure that remains robust at room temperature, revealing a surprising new level of quantum complexity in this material.

Electronic friction can be tuned and switched off

Researchers in China have isolated the effects of electronic friction, showing for the first time how the subtle drag force it imparts at sliding interfaces can be controlled. They demonstrate that it can be tuned by applying a voltage, or switched off entirely simply by applying mechanical pressure. The results, published in Physical Review X, could inform new designs that allow engineers to fine-tune the drag forces materials experience as they slide over each other.

In engineering, friction causes materials to wear and degrade over time, and also causes useful energy to be wasted as heat. While this problem can be mitigated through lubricants and smoother surfaces, friction can also arise from deeper, more subtle effects.

Among these is an effect which can occur at metallic or chemically active surfaces as they slide past one another. In these cases, atomic nuclei in one surface can transfer some of their energy to electrons in the other surface, exciting them to higher energy levels. This lost energy produces a drag force that increases with sliding velocity: an effect known as “electronic friction.”

Cell division spindles self-organize like active liquid crystals—a theory that holds up

When a cell divides, it performs a feat of microscopic choreography—duplicating its DNA and depositing it into two new cells. The spindle is the machinery behind that process: It latches onto chromosomes (where DNA is stored) and separates them so they can settle into their new homes. This tricky process can sometimes go wrong, causing infertility, genetic disorders, or cancer.

Scientists have a good understanding of what spindles are made of: long, thin rods called microtubules as well as a variety of associated motor proteins. However, how these microtubules interact and organize to guide the spindles’ function has remained a mystery.

One approach to understand how the spindle self-organizes is to treat it like an active liquid crystal. Liquid crystals, like spindles, are made up of elongated subunits. Unlike liquid crystals in LCD displays, which require an external electric field to reorient their subunits, spindles are active materials that generate forces internally.

NOvA maps neutrino oscillations over 500 miles with 10 years of data

Neutrinos are very small, neutral subatomic particles that rarely interact with ordinary matter and are thus sometimes referred to as ghost particles. There are three known types (i.e., flavors) of neutrinos, dubbed muon, electron and tau neutrinos.

Interestingly, physicists discovered that as they travel, neutrinos can change flavor, which requires that neutrinos have a small, but not zero, mass. This phenomenon, known as neutrino oscillation, has been widely investigated in recent years, as studying it could help to infer the properties of neutrinos.

The NOvA experiment, a U.S.-based particle physics research endeavor, has been collecting data with two neutrino detectors that are far apart from each other, one located at the Fermi National Laboratory (Fermilab) in Illinois and the other at a facility in Northern Minnesota. In a recent paper, published in Physical Review Letters, the researchers involved in the NOvA experiment published some of the most precise neutrino oscillation measurements to date.

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