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Three billion years ago, Earth’s life relied on a rare metal

A collaborative team of scientists has discovered that life on Earth over three billion years ago relied on the metal molybdenum, which was incredibly scarce in the environment at the time. The study, published in Nature Communications, is the first to show that molybdenum was used by ancient life this far back in our planet’s history.

On Earth today, molybdenum helps speed up vital biochemical reactions in cells. The metal is a component of essential enzymes that drive several major biological reactions in organisms. This is not only important for individual organisms, but also biogeochemical cycles, such as the nitrogen cycle, which affect our entire planet. Without molybdenum, those important reactions could still happen in nature, but they would be too slow to sustain life.

“Molybdenum sits at the catalytic center of enzymes that run major carbon, nitrogen, and sulfur reactions,” explained Betül Kaçar, head of the Kaçar Lab at the University of Wisconsin-Madison and senior author on the study. Kaçar leads MUSE, a NASA Interdisciplinary Consortia for Astrobiology Research (ICAR) at UW-Madison.

‘Solar-blind’ 2D heterostructure delivers 422-fold responsivity gain for UV sensing

Photodetectors remain a critical component in the development of advanced electronics and photonics, particularly in the role of signal readout through the conversion of photons into electrons. These digital imaging components are ubiquitous in sensors, cameras, adaptive displays, telecommunications, LiDAR systems, health monitoring wearables, and oximeters.

In the quest toward the next generation of optoelectronic devices, the spotlight lands upon ultrathin 2D materials with improved performance for integrated circuits and wearable electronics. In a recent study published in ACS Applied Electronic Materials, a team of researchers led by Haizhao Zhi and Eng Tuan Poh introduced a series of wide bandgap 2D materials—transition metal thio(seleno)phosphates into the light.

The team focused on manganese thiophosphate (MnPS3), a wide-bandgap semiconductor that is naturally “solar-blind,” meaning it is highly sensitive to UV light while remaining transparent to much of the visible spectrum. While MnPS3 is an excellent candidate for UV sensing, its performance as a standalone material is often limited by low carrier mobility—it acts almost like a “near-perfect insulator.”

Inexpensive material compresses light, paving the way for photonic microcircuits in the terahertz range

A two-dimensional lamellar crystal composed of atomically thin layers of lead iodide (PbI2) could be used to manufacture a new generation of circuits that use light and mechanical vibrations (rather than electrons) to transmit information in the terahertz frequency range.

Researchers at the Brazilian Center for Research in Energy and Materials (CNPEM), in partnership with colleagues from the University of Lille (France) and other international institutions, have studied this technology and published their findings in Nature Communications.

The terahertz band corresponds to a low-energy region of the electromagnetic spectrum situated between infrared and microwaves. Despite this, it is considered crucial for developing high-speed communication technologies.

Durable ionogel withstands 5,000 times its weight while staying soft on skin

The development of soft materials that can reliably function on the human body is important for the future of bioelectronics and wearable medical devices. These materials need to comfortably conform to the skin while being durable enough for everyday use. However, many existing soft materials are easily damaged, limiting their practical applications.

A research team led by Professor Lizhi Xu from the Department of Mechanical Engineering under the Faculty of Engineering at the University of Hong Kong (HKU) has created a new type of ionogel that overcomes this challenge. The material is soft and flexible, yet strong enough to withstand significant mechanical stress, making it ideal for wearable and biomedical applications.

The research is published in the journal Science Advances, in an article titled “High-strength and fracture-resistant ionogels via solvent-tailored interphase cohesion in nanofibrous composite networks.”

Chemistry-aware AI can generate millions of plausible new molecules

Finding and developing new molecules is one of the great research endeavors of modern chemistry. From the development of new drugs to the creation of more sustainable materials, everything depends on finding new combinations of atoms with useful properties. Now, a research team from the Universitat Rovira i Virgili (URV) has developed an artificial intelligence tool capable of generating millions of new molecules which, although still unknown to science, comply with the laws of chemistry and could therefore be realistic possibilities. The research results have been published in the journal Nature Machine Intelligence.

The system, called CoCoGraph, works in a similar way to generative artificial intelligence tools for text or images, such as ChatGPT or Dall-E. “These models create new content that looks very much like the real thing. Our algorithm does the same, but with molecules,” explains Roger Guimerà, an ICREA Research Professor in the Department of Chemical Engineering at the URV.

Unlike other AI tools, however, the model does not yet respond to specific instructions. For the moment it simply carries out the more basic task of generating plausible molecules, that is, structures that comply with the rules of chemistry.

Small talk shapes big trends: Physics predicts how language patterns spread

A new model to predict how language changes over time has been developed by a statistical physicist at the University of Portsmouth. The model is a step towards understanding the “statistical physics of language,” a scientific theory which borrows ideas from the physics of interacting particles to explain how words, accents, and dialects spread, shift, and disappear across regions and generations, and how they might change in future. The research is published in the journal Physical Review E.

James Burridge, Professor of Probability and Statistical Physics, from the University’s School of Mathematics and Physics, said, Just as meteorologists use mathematical models to forecast tomorrow’s weather, the same kind of thinking can be applied to language.

Where you are affects how you speak and if you map how people use certain words, you see clear geographic patterns—just like a weather map. However, the physics of language is closer to crystals and magnets than the atmosphere.

Elastic rules may explain why nematic crystals look ordered and disordered at once

Electronic nematicity is a phase of some crystalline solids in which electrons’ collective properties, such as charge or spin densities, organize themselves into ordered patterns, lowering the crystal’s rotational symmetry. This phase is found across a wide range of diverse materials, making nematicity crucial to understanding emergent solid-state phenomena, such as unconventional superconductivity and magnetism.

Lately, experimentalists have encountered a hurdle to understanding nematicity: despite exhibiting nematic order at macroscopic scales, at the microscopic level, many nematic materials seem to exhibit disorder instead.

To address this seeming paradox, theorists at the University of Illinois Urbana-Champaign have invented a new way of looking at the interactions between nematicity and elasticity, incorporating aspects of elasticity theory, whose impacts on nematicity have previously been overlooked.

Magnetic fields can ‘revive’ superconductivity in nickelates, research reveals

A research team led by Professor Denver Li Danfeng, Associate Dean (Research and Postgraduate Education) of the College of Science and Associate Professor in the Department of Physics at City University of Hong Kong (CityUHK), has achieved a significant advance in superconducting materials.

The team has discovered a magnetic-field-induced “re-entrant superconductivity” phenomenon in infinite-layer nickelate superconductors, in which superconductivity—initially suppressed by a magnetic field—reappears at higher field strengths. This finding challenges the conventional understanding that magnetic fields suppress superconductivity and opens up new directions for exploring unconventional superconducting mechanisms and next-generation superconducting materials.

The findings are published in Nature, titled “Field re-entrant superconductivity in Eu-doped infinite-layer nickelates.”

Why isolated human groups speak more diverse languages even as genetic diversity shrinks

Languages and human DNA both capture aspects of human diversity. But how are they related? A new international study led by the University of Zurich finds a clear but counterintuitive pattern: regions with high genetic diversity tend to have more similar languages, while isolated populations with low genetic diversity show greater linguistic diversity. The research is published in the journal Proceedings of the National Academy of Sciences.

At first glance, the findings seem surprising. One might expect regions with greater genetic diversity, often shaped by migration and population mixing, to also show greater diversity in language. But the study reveals the opposite.

“We were struck by how robust this inverse relationship is across the globe,” says Anna Graff, lead author of the study and linguist at the University of Zurich. “Places where people have mixed more tend to be genetically diverse, but their languages are structurally more similar. In contrast, places with long-term isolation show less genetic diversity, yet much greater diversity in how languages are structured. Crucially, this relationship holds after adjusting for a wide range of confounding factors, including deep population history such as the timing of continental settlement.”

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