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Category: biological

New cryogenic silicon carbide hardware addresses quantum computing bottleneck

Researchers from the Department of Electrical and Computer Engineering in the Faculty of Engineering at the University of Hong Kong (HKU) and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC) have achieved a major breakthrough in cryogenic electronics. The team has developed a programmable neuromorphic hardware platform that operates near absolute zero, providing a potential solution for scaling up quantum computers and enabling deep-space exploration. The discovery was published in Nature Communications in an article titled “Cryogenic neuromorphic circuits using gate-controlled negative differential resistance in silicon carbide.”

Led by Professor Yuhao Zhang and Ph.D. student Xin Yang, the team discovered an innovative way to generate and control negative differential resistance (NDR) in industry-standard silicon carbide (SiC) MOSFETs. For the first time, they demonstrated that a single transistor can mimic the energy-efficient “spiking” behavior of biological neurons at temperatures as low as 10 mK.

Modern quantum computers rely on complex electronics to control qubits, which are extremely sensitive and must be maintained at millikelvin temperatures. Current silicon-based controllers generate excessive heat and consume high levels of power, forcing them to be placed far from the qubits. This separation creates a wiring bottleneck that limits the scalability and performance of quantum systems.

HP Lovecraft’s Shoggoth Explained: Anatomy, Origin, and a Modern Metaphor for AI?

Lovecraft’s ultimate amorphous, shape-shifting horror. Far more than just a monster, this protoplasmic nightmare from At the Mountains of Madness is a creature of pure, terrifying potential—a slave race that violently found its own mind.

We’re dissecting the Shoggoth’s anatomy and dark origins, but more importantly, we are exploring why this hundred-year-old biological horror is the perfect modern metaphor for Large Language Models (LLMs) and A.I.

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Terahertz biophotonics: Understanding the path towards practical applications for biological imaging

Biophotonics is a multidisciplinary field that involves the development and application of light-based technologies to study, monitor and treat biological systems. The ability to directly image cells and molecules has led to many fundamental discoveries in the past century. More recently, the terahertz (THz) region of the electromagnetic spectrum has attracted growing interest as a promising frontier for advancing biological research.

The THz frequency range is associated with several fundamental biological processes. Although THz radiation is strongly absorbed by water—traditionally viewed as a limitation—this property can enable sensitive characterization of hydration states and water content. Compared with visible light, THz waves can also penetrate certain biological tissues more effectively.

However, despite steady advancements, the adoption of THz biophotonics still lags behind visible light-based techniques in directly observing cellular and molecular dynamics. This is largely due to several challenges, including relatively low spatial resolution (a consequence of the longer THz wavelengths), high sensitivity to water that complicates measurements, slower imaging speeds and bulky instrumentation. Fortunately, recent developments suggest strong future potential.

Chemists have demonstrated for the first time how RNA may have copied itself on early Earth — solving a bottleneck that had blocked the origin-of-life field for decades

A paper published in Nature Chemistry in May 2025 describes what its authors call the first demonstration of exponential RNA replication by a polymerase ribozyme under conditions that could plausibly have occurred on the early Earth. The work comes from Dr James Attwater and Dr Philipp Holliger at the MRC Laboratory of Molecular Biology in Cambridge, with co-authors at UCL Chemistry.

The delusion of a particle-only universe

If everything that happens in the world ultimately comes down to the behavior of fundamental particles, it would seem that other entities, from cells to human beings, from currencies to financial markets, aren’t really causing anything at all—that they are just shadows cast by patterns at the most fundamental level. But philosopher David Yates argues this conclusion is wrong. The whole affects the parts, and higher-level structures don’t just describe what is happening at lower levels in more convenient terms—they actively shape what is possible. This means that chemists, biologists, psychologists, and economists aren’t chasing shadows. They are studying structures that genuinely shape how the world unfolds.

In 1974, Jerry Fodor published a seminal paper titled ‘Special Sciences’, in which he argued for an intuitive and compelling picture of the relationship between fundamental physics and higher-level sciences such as biology, psychology and economics. Our world, according to Fodor, is arranged hierarchically, with fundamental physical particles at the bottom, combining to form molecules, which combine to form cells, which combine to form complex organisms, some of which have mental states, among them humans, who combine to form complex societies. The sciences are likewise arranged, with physics at the bottom, followed by chemistry, biology, physiology, neuroscience, psychology, sociology and economics. Now it is vanishingly unlikely, says Fodor, that things that share e.g. psychological or economic properties, also share some property specifiable in the language of physics or other lower-level sciences.

Laser beam builds cell-like protein networks without chemical modification

Networks of protein fibers play important roles in living cells. To understand the dynamical behavior of these networks, model networks are needed to perform in vitro studies. However, fabrication of protein networks similar to those in cells has proved difficult, as current methods could affect the biological function of these proteins—ultimately impacting our understanding of any findings.

Now, researchers at The University of Osaka and Saitama University have used a laser beam to precisely fabricate a network of protein fibers. Their discovery was recently reported in Advanced Science.

The shape of living cells is determined by an internal network of protein fibers called a cytoskeleton. The cytoskeletal structure is dynamic, as the key nodes for cell function shift over time. One such cell function can be witnessed with motor proteins, which convert chemical energy into mechanical work. These proteins walk along cytoskeletal tracks to drive muscle contraction and transport components across the cell.

New X-ray method captures solid-liquid interfaces and bulk liquids simultaneously

Researchers have developed a method for making simultaneous soft X-ray absorption spectroscopy (XAS) measurements of solid-liquid interfaces and bulk liquids. By controlling the thickness of the liquid layer, they obtained the O K-edge XAS spectrum of bulk H2O from a liquid H2O layer on a thin Au film using the transmission method, and they used the electron-yield method to obtain the XAS spectrum of the H2O/Au interface by measuring the drain currents from the Au surface following soft X-ray absorption. This method for obtaining simultaneous XAS measurements of solid-liquid interfaces and bulk liquids can be utilized to investigate the mechanisms of a variety of catalytic, electrochemical, and biological reactions involving solid-liquid interfaces.

Water molecules at solid-liquid interfaces play important roles in various catalytic, electrochemical, and biological reactions. Soft X-ray absorption spectroscopy (XAS) is an element-specific method for investigating the electronic structures of liquid water and organic molecules. In this study, the researchers developed a method for simultaneously obtaining XAS measurements of a solid-liquid interface, using the electron-yield method, and of the bulk liquid, using the transmission method. The paper is published in the Journal of Synchrotron Radiation.

In the present work, they measured the XAS spectra while precisely controlling the thickness of the liquid layer in the range from 20 nm to 40 μm in a liquid cell for the transmission of soft X-rays. The XAS spectra acquired in transmission mode are derived mainly from the bulk liquid because the contributions from the solid-liquid interfaces are smaller than those from the bulk liquid. In contrast, the XAS spectra of solid-liquid interfaces are obtained by detecting Auger electrons, which originate mostly from those interfaces because they escape only from shallow depths.

Why Nanoscale Droplets Don’t Coalesce

A well-shaken mixture of oil and vinegar will separate as the oil droplets eventually coalesce. Droplet growth, or coarsening, usually evolves according to standard rules. But puzzling exceptions persist. When two polymers are mixed in water and the concentration is high enough, droplets containing one or both species form and can remain stable for hours or days. These loose molecular condensates otherwise behave like liquid droplets, and they abound in biological cells. Now Feipeng Chen of the University of Hong Kong and his colleagues have developed a predictive model for coarsening behavior that works across a range of droplet sizes and explains why coarsening may be suppressed in living systems [1].

The researchers derived their model from observations of a solution containing water and two different polymers, opposite in charge and having very different molecular chain lengths. Using light-scattering techniques, the researchers monitored condensate growth over 12 hours. The initial size and subsequent growth rate of the liquid-like droplets, rich in both polymers, turned out to depend on the solution’s overall initial concentration. In the most dilute solutions, condensates tens-of-nanometers in diameter formed and promptly stopped growing for the remaining 12-hour observation period. In solutions having slightly higher concentration, hundreds-of-nanometer condensates formed and remained stable, then underwent abrupt, rapid growth in the later stages. And in the most concentrated solutions, micrometer-scale condensates formed and grew according to a power-law model.

Applying an electric field to the solutions indicated that the nanoscale condensates had significant surface charge. Modeling these measurements revealed that the asymmetric chain lengths of oppositely charged polymers imparted a net charge to the droplet surfaces. These charges led to size-dependent electrostatic barriers that drastically reduced merging efficiency below a critical diameter. The finding offers a principle for controlling size stability in biology, nanotechnology, and soft-matter assembly.

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