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Active Fluids Solve Icy “Six-Vertex” Model

Researchers demonstrate an active-fluid system whose behaviors map directly to predictions of the six-vertex model—an exactly solvable model that was originally developed to explain the behavior of ice.

Active fluids—collections of self-propelled agents such as bacteria, cells, or colloids—consume energy to move, flowing without being pushed [1]. These materials break the conventional rules of fluid dynamics, as they can flow spontaneously, switch direction without apparent cause, and organize into complex patterns with no external control. Active fluids were initially studied to understand the collective dynamics observed in biological systems. Now they offer a rich playground for exploring nonequilibrium physics. Yet, in the ever-expanding universe of active-fluid physics, it is rare to find an experimental system that maps precisely onto a mathematically exact model.

Mapping memory: Protein tracking technique reveals synaptic changes during learning

A team of Harvard researchers have unveiled a way to map the molecular underpinnings of how learning and memories are formed, a new technique expected to offer insights that may pave the way for new treatments for neurological disorders such as dementia.

“This technique provides a lens into the synaptic architecture of memory, something previously unattainable in such detail,” said Adam Cohen, professor of chemistry and and of physics and senior co-author of the research paper, published in Nature Neuroscience.

Memory resides within a dense network of billions of neurons within the brain. We rely on synaptic plasticity—the strengthening and modulation of connections between these neurons—to facilitate learning and memory.

Digital technologies

Digital transformation is blurring the lines between the physical, digital and biological spheres. From cloud computing, to Artificial Intelligence (AI) and Big Data, technologies of the Fourth Industrial Revolution (4IR) are shaping every aspect of our lives.

In the oil and gas industry, digital transformation is revolutionizing how we supply energy to the world. By deploying a range of 4IR technologies across our business, we aim to meet the world’s energy needs while enhancing productivity, reducing CO2 emissions, and creating next-generation products and materials.

Novel AI model inspired by neural dynamics from the brain

MIT CSAIL researchers developed “linear oscillatory state-space models” to leverage harmonic oscillators. Capturing the stability and efficiency of biological neural systems and translating these principles into a machine learning framework, the LinOSS approach can help predict complex systems.

Programmable double-network gels: Interspecies interactions dictate structure, resilience and adaptability

A new study uncovers how fine-tuning the interactions between two distinct network-forming species within a soft gel enables programmable control over its structure and mechanical properties. The findings reveal a powerful framework for engineering next-generation soft materials with customizable behaviors, inspired by the complexity of biological tissues.

The study, titled “Inter-Species Interactions in Dual, Fibrous Gels Enable Control of Gel Structure and Rheology,” is published in Proceedings of the National Academy of Sciences.

The study uses simulations to investigate how varying the strength and geometry of interactions between two colloidal species impacts network formation and rheological performance. By controlling separately interspecies stickiness and tendency to bundle, researchers discovered that tuning these inter-species interactions allows over whether the networks that they form remain separate, overlap, or intertwine.

Manta ray group formations reveal how collective swimming affects propulsion efficiency

From bird flocking to fish schooling, many biological systems exhibit some type of collective motion, often to improve performance and conserve energy. Compared to other swimmers, manta rays are particularly efficient, and their large aspect ratio is useful for creating large lift compared to drag. These properties make their collective motion especially relevant to complex underwater operations.

To understand how their affect their propulsion, researchers from Northwestern Polytechnical University (NPU) and the Ningbo Institute of NPU, in China, modeled the motions of groups of , which they present in Physics of Fluids.

“As underwater operation tasks become more complex and often require multiple underwater vehicles to carry out group operations, it is necessary to take inspiration from the group swimming of organisms to guide formations of underwater vehicles,” said author Pengcheng Gao. “Both the shape of manta rays and their propulsive performance are of great value for biomimicry.”

Quantum effects in proteins: How tiny particles coordinate energy transfer inside cells

Protons are the basis of bioenergetics. The ability to move them through biological systems is essential for life. A new study in Proceedings of the National Academy of Sciences shows for the first time that proton transfer is directly influenced by the spin of electrons when measured in chiral biological environments such as proteins. In other words, proton movement in living systems is not purely chemical; it is also a quantum process involving electron spin and molecular chirality.

The quantum process directly affects the small movements of the biological environment that support . This discovery suggests that energy and information transfer in life is more controlled, selective, and potentially tunable than previously believed, bridging with biological chemistry and opening new doors for understanding life at its deepest level—and for designing technologies that can mimic or control biological processes.

The work, led by a team of researchers from the Hebrew University of Jerusalem collaborating with Prof. Ron Naaman from Weizmann Institute of Science and Prof. Nurit Ashkenasy from Ben Gurion University, reveals a surprising connection between the movement of electrons and protons in biological systems.

How does consciousness work? Duelling scientists tested two big theories but found no winner

“Theories are like toothbrushes,” it’s sometimes said. “Everybody has their own and nobody wants to use anybody else’s.”

It’s a joke, but when it comes to the study of consciousness – the question of how we have a subjective experience of anything at all – it’s not too far from the truth.

In 2022, British neuroscientist Anil Seth and I published a review listing 22 theories based in the biology of the brain. In 2024, operating with a less restrictive scope, US public intellectual Robert Kuhn counted more than 200.

Scientists Have Just Discovered a New Type of Electricity-Conducting Bacteria

A new species of bacteria that functions like electrical wiring has recently been discovered on a brackish beach in Oregon. The species was named Candidatus Electrothrix yaqonensis in honor of the Yaquina tribe of Native Americans that once lived in and around Yaquina Bay, where the bacteria were found.

This species is a type of cable bacteria: rod-shaped microbes that are connected at both ends to one another to create a chain and which share an outer membrane, forming filaments several centimeters long. Cable bacteria are found in marine and freshwater sediments and, unusually among bacteria, are electrically conductive. This is due to their special metabolism, in which electrons generated by oxidizing sulfides in their deeper layers are sent to their surface layer, where they are received by oxygen and nitric acid.