Altermagnets, which exhibit momentum-dependent spin splitting without spin–orbit coupling (SOC) or net magnetization, have recently attracted significant international attention.

A team led by Prof. Liu Junwei from the Department of Physics at the Hong Kong University of Science and Technology (HKUST), along with their experimental collaborators, published their latest research findings in Nature Physics, which unveiled the first experimental observation of a two-dimensional layered room-temperature altermagnet, validating the theoretical predictions in Nature Communications made by Prof. Liu in 2021.

The realization and control of spin-polarized electronic states in solids are crucial for spintronics for encoding and processing information. Spin polarization is typically generated by coupling an electron’s spin to other degrees of freedom, such as orbital or magnetic moments.

A groundbreaking cement developed by Chinese scientists can now generate electricity from heat—thanks to a bio-inspired design that mimics plant stems. By combining hydrogel layers with traditional cement, this innovation enhances ion flow and delivers record-high thermoelectric efficiency. This breakthrough could power smart infrastructure, allowing buildings, roads, and bridges to self-generate electricity for sensors, lighting, and more—ushering in a new era of energy-smart cities.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial intelligence (AI) model inspired by neural oscillations in the brain, with the goal of significantly advancing how machine learning algorithms handle long sequences of data.

AI often struggles with analyzing complex information that unfolds over long periods of time, such as climate trends, biological signals, or financial data. One new type of AI model called “state-space models” has been designed specifically to understand these sequential patterns more effectively. However, existing state-space models often face challenges—they can become unstable or require a significant amount of computational resources when processing long data sequences.

To address these issues, CSAIL researchers T. Konstantin Rusch and Daniela Rus have developed what they call “linear oscillatory state-space models” (LinOSS), which leverage principles of forced harmonic oscillators—a concept deeply rooted in physics and observed in biological neural networks.

Northwestern University has unveiled a pacemaker smaller than a grain of rice that needs no surgery or wires. Injected into the body, it stimulates the heart, then dissolves after healing, offering a safer solution for temporary pacing.

Four physicists at the Hebrew University of Jerusalem, in Israel, have unraveled the mechanical process behind the growth of roses as they blossom into their unique shape. In their study published in the journal Science, Yafei Zhang, Omri Cohen, Michael Moshe and Eran Sharon adopted a multipronged approach to learn the secrets behind rose blossom growth. Qinghao Cui and Lishuai Jin, with the University of Hong Kong have published a Perspective piece in the same journal issue outlining the work.

Roses have been prized for their beauty and sweet aromas for thousands of years, but until now, the mechanics behind rose growth have not been explored. To gain a better understanding of the process, the research team undertook a three-pronged approach. First, they conducted a theoretical analysis of the process. Then they created computer models to simulate the ways the flowers might grow and bloom; finally, they created real-world bendable plastic disks to simulate petals and the possible ways they could grow given the constraints of real roses.

They found that the shape of the petals is strongly influenced by the frustration known as the Mainardi-Codazzi-Peterson incompatibility, in which geometric compatibility conditions inherent on a surface made of a particular material are violated, leading to forces that generate rolling and sharp edges.

A research team has uncovered a previously unknown type of immune signaling molecule—a novel compound combining histidine and ADP-ribose—produced by bacteria’s Thoeris II defense system in response to viral infection. This finding expands our understanding of bacterial immunity and may pave the way for innovative tools in biotechnology, gene editing, and antimicrobial therapy.

The paper, titled “TIR domains produce histidine-ADPR as an immune signal in bacteria,” is published in the journal Nature, and the team includes scientists at Vilnius University’s Life Sciences Centre (VU LSC), together with colleagues from the Weizmann Institute of Science (Israel) and Harvard Medical School.

The discovery sheds light on how bacteria, much like humans, communicate viral threats at the molecular level—in this case, triggering a self-sacrificing response to halt virus spread and protect bacterial populations. Beyond its fundamental significance, the finding opens exciting avenues for rethinking immune mechanisms and virus-host interactions.

An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer’s disease and around fifty other types of human disease. In a departure from typical “black-box” AI models, the new tool, CANYA, was designed to be able to explain its decisions, revealing the specific chemical patterns that drive or prevent harmful protein folding.

The discovery, published in the journal Science Advances, was possible thanks to the largest-ever dataset on protein aggregation created to date. The study gives new insights about the molecular mechanisms underpinning sticky proteins, which are linked to diseases affecting half a billion people worldwide.

Protein clumping, or amyloid aggregation, is a health hazard that disrupts normal cell function. When certain patches in proteins stick to each other, proteins grow into dense fibrous masses that have pathological consequences.

Lightweight lithium metal is a heavy-hitting critical mineral, serving as the key ingredient in the rechargeable batteries that power phones, laptops, electric vehicles and more. As ubiquitous as lithium is in modern technology, extracting the metal is complex and expensive. A new method, developed by researchers at Penn State and recently granted patent rights, enables high-efficiency lithium extraction—in minutes, not hours—using low temperatures and simple water-based leaching.

“Lithium powers the technologies that define our modern lives—from smartphones to electric vehicles—and has applications in grid energy storage, ceramics, glass, lubricants, and even medical and nuclear technologies,” said Mohammad Rezaee, the Centennial Career Development Professor in Mining Engineering at Penn State, who led the team that published their approach in Chemical Engineering Journal.

“But its extraction must also be environmentally responsible. Our research shows that we can extract lithium, and other critical minerals, more efficiently while drastically reducing energy use, greenhouse gas emissions and waste that’s difficult to manage or dispose of.”

Scientists and engineers from the UK Atomic Energy Authority (UKAEA) and the University of Bristol have successfully created the world’s first carbon-14 diamond battery.

This new type of battery has the potential to power devices for thousands of years, making it an incredibly long-lasting energy source.

The battery leverages the radioactive isotope, carbon-14, known for its use in radiocarbon dating, to produce a diamond battery.

A new study involving over 700 older adults suggests that taking one gram of omega-3 daily may help slow biological aging, with effects visible in molecular markers known as epigenetic clocks.

When combined with vitamin D and regular exercise, the anti-aging benefits became even more pronounced, lowering the risks of frailty and cancer as well.

Omega-3 linked to slower aging in humans.