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Category: chemistry – Page 5

A new technology has been developed that enables the manufacturing of thin films, which typically require complex processes, using only water and oil in just one minute. Professor Kang Hee Ku and her research team from the School of Energy and Chemical Engineering at UNIST announced their novel process for creating catalytic thin films using oil droplets dispersed in water.

The developed technology involves a process in which nanomaterial precursors attached to the surface of oil droplets float to the surface of the water, where they assemble into a thin film. When is added, it decomposes due to the thin film precursors, producing gas bubbles that cause the precursors to be lifted and assembled on the water surface within one minute.

This process allows for precise control of the thin film thickness, adjustable from 350 μm, and enables the synthesis of thin films covering an area of up to 100 cm² using various raw materials. The resulting thin films exhibit a porous structure with a , featuring exceptional mechanical strength and flexibility.

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While biodiesel provides a cleaner-burning alternative to petroleum diesel, it produces CO2 and hazardous wastewater during manufacturing, requiring extra steps to achieve sustainability. A diagnostic study led by University of Michigan researchers works to improve a process that captures CO2 while treating biodiesel wastewater and produces valuable co-products like fuels and green chemicals.

During biodiesel production, fats—like , or recycled restaurant grease—are transformed into fuel through a process called transesterification. With the help of a , an alcohol (typically methanol) breaks the bonds in the fat molecules to create glycerol and long, chain-like molecules called fatty acid esters.

The fatty acid esters, which resemble petroleum diesel’s molecular structure, become biodiesel while the glycerol goes into the wastewater as a byproduct. If left untreated, glycerol can pollute natural water resources by depleting , suffocating fish and other organisms.

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Redox reactions form the basis of many fundamental processes of life. Without them, neither cellular respiration nor photosynthesis could take place. Redox reactions also play a crucial role in applications in the domains of chemistry, biochemistry, and the use of light for energy generation. Understanding the fundamental principles of these reactions is therefore important for driving forward new technologies.

Using an innovative method based on high pressures, a team led by LMU chemist Professor Ivana Ivanović-Burmazović and Professor Dirk Guldi from FAU Erlangen-Nürnberg has managed for the first time to differentiate two related reaction mechanisms. The research is published in the journal Nature Chemistry.

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If there were such a thing as a photo album of the universe, it might include snapshots of pancake-like disks of gas and dust, swirling around newly formed stars across the Milky Way. Known as planet-forming disks, they are believed to be a short-lived feature around most, if not all, young stars, providing the raw materials for planets to form.

Most of these planetary nurseries are short-lived, typically lasting only about 10 million years—a fleeting existence by cosmic standards. Now, in a surprising find, researchers at the University of Arizona have discovered that disks can grace their host stars much longer than previously thought, provided the stars are small—one-tenth of the sun’s mass or less.

In a paper published in the Astrophysical Letters Journal, a research team led by Feng Long of the U of A Lunar and Planetary Laboratory, in the College of Science, reports a detailed observation of a protoplanetary disk at the ripe old age of 30 million years. Presenting the first detailed chemical analysis of a long-lived disk using NASA’s James Webb Space Telescope, the paper provides new insights into planet formation and the habitability of planets outside our solar system.

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Increasing energy demands and problems associated with burning fossil fuels have heightened interest in more sustainable energy sources, such as sunlight. But there are still areas where carbon-based fuel remains the standard, such as in the aviation industry. To address this need, scientists have been working to devise a way to use sunlight to generate solar-thermal heating that could then drive the chemical reactions that are needed to make jet fuel with net-zero carbon emissions.

Now, a team at Caltech that is part of a Department of Energy (DOE) Energy Innovation Hub known as the Liquid Sunlight Alliance, or LiSA, has developed such a solar-thermal heating system on a small scale and demonstrated that it can successfully drive an important reaction for jet fuel production.

Completely powered by solar energy, the so-called photothermocatalytic reactor incorporates a spectrally selective solar absorber to maximize the generation of solar-thermal heating. The modular design of the reactor takes advantage of current fabrication technologies and existing silicon solar panel production infrastructure.

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Researchers will soon be able to study biological changes at scales and speeds not previously possible to significantly expand knowledge in areas such as disease progression and drug delivery.

Physicists at The University of Queensland have used “tweezers made from light” to measure activity within microscopic systems over timeframes as short as milliseconds. Professor Halina Rubinsztein-Dunlop from UQ’s School of Mathematics and Physics said the method could help biologists understand what was happening within single living cells.

“For example, they will be able to look at how a cell is dividing, how it responds to outside stimuli, or even how affect cell properties,” Professor Rubinsztein-Dunlop said.

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A research team at UNIST has identified the causes of oxygen generation in a novel cathode material called quasi-lithium and proposed a material design principle to address this issue.

Quasi-lithium materials theoretically enable batteries to store 30% to 70% more energy compared to existing technologies through high-voltage charging of over 4.5V. This advancement could allow to achieve a of up to 1,000 km on a single charge. However, during the high-voltage charging process, oxygen trapped inside the material can oxidize and be released as gas, posing a significant explosion risk.

The research team, led by Professor Hyun-Wook Lee in the School of Energy and Chemical Engineering, discovered that oxygen oxidizes near 4.25V, causing partial structural deformation and gas release.

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AlphaTensor–Quantum addresses three main challenges that go beyond the capabilities of AlphaTensor25 when applied to this problem. First, it optimizes the symmetric (rather than the standard) tensor rank; this is achieved by modifying the RL environment and actions to provide symmetric (Waring) decompositions of the tensor, which has the beneficial side effect of reducing the action search space. Second, AlphaTensor–Quantum scales up to large tensor sizes, which is a requirement as the size of the tensor corresponds directly to the number of qubits in the circuit to be optimized; this is achieved by a neural network architecture featuring symmetrization layers. Third, AlphaTensor–Quantum leverages domain knowledge that falls outside of the tensor decomposition framework; this is achieved by incorporating gadgets (constructions that can save T gates by using auxiliary ancilla qubits) through an efficient procedure embedded in the RL environment.

We demonstrate that AlphaTensor–Quantum is a powerful method for finding efficient quantum circuits. On a benchmark of arithmetic primitives, it outperforms all existing methods for T-count optimization, especially when allowed to leverage domain knowledge. For multiplication in finite fields, an operation with application in cryptography34, AlphaTensor–Quantum finds an efficient quantum algorithm with the same complexity as the classical Karatsuba method35. This is the most efficient quantum algorithm for multiplication on finite fields reported so far (naive translations of classical algorithms introduce overhead36,37 due to the reversible nature of quantum computations). We also optimize quantum primitives for other relevant problems, ranging from arithmetic computations used, for example, in Shor’s algorithm38, to Hamiltonian simulation in quantum chemistry, for example, iron–molybdenum cofactor (FeMoco) simulation39,40. AlphaTensor–Quantum recovers the best-known hand-designed solutions, demonstrating that it can effectively optimize circuits of interest in a fully automated way. We envision that this approach can accelerate discoveries in quantum computation as it saves the numerous hours of research invested in the design of optimized circuits.

AlphaTensor–Quantum can effectively exploit the domain knowledge (provided in the form of gadgets with state-of-the-art magic-state factories12), finding constructions with lower T-count. Because of its flexibility, AlphaTensor–Quantum can be readily extended in multiple ways, for example, by considering complexity metrics other than the T-count such as the cost of two-qubit Clifford gates or the qubit topology, by allowing circuit approximations, or by incorporating new domain knowledge. We expect that AlphaTensor–Quantum will become instrumental in automatic circuit optimization with new advancements in quantum computing.

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The healthcare industry faces a significant shift towards digital health technology, with a growing demand for real-time and continuous health monitoring and disease diagnostics [1, 2, 3]. The rising prevalence of chronic diseases, such as diabetes, heart disease, and cancer, coupled with an aging population, has increased the need for remote and continuous health monitoring [4, 5, 6, 7]. This has led to the emergence of artificial intelligence (AI)-based wearable sensors that can collect, analyze, and transmit real-time health data to healthcare providers so that they can make efficient decisions based on patient data. Therefore, wearable sensors have become increasingly popular due to their ability to provide a non-invasive and convenient means of monitoring patient health. These wearable sensors can track various health parameters, such as heart rate, blood pressure, oxygen saturation, skin temperature, physical activity levels, sleep patterns, and biochemical markers, such as glucose, cortisol, lactates, electrolytes, and pH and environmental parameters [1, 8, 9, 10]. Wearable health technology includes first-generation wearable technologies, such as fitness trackers, smartwatches, and current wearable sensors, and is a powerful tool in addressing healthcare challenges [2].

The data collected by wearable sensors can be analyzed using machine learning (ML) and AI algorithms to provide insights into an individual’s health status, enabling early detection of health issues and the provision of personalized healthcare [6,11]. One of the most significant advantages of AI-based wearable health technology is to promote preventive healthcare. This enables individuals and healthcare providers to proactively address symptomatic conditions before they become more severe [12,13,14,15]. Wearable devices can also encourage healthy behavior by providing incentives, reminders, and feedback to individuals, such as staying active, hydrating, eating healthily, and maintaining a healthy lifestyle by measuring hydration biomarkers and nutrients.

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Two different teams of astronomers have detected oxygen in the most distant known galaxy, JADES-GS-z14-0. The discovery, reported in two separate studies, was made possible thanks to the Atacama Large Millimeter/submillimeter Array (ALMA), in which the European Southern Observatory (ESO) is a partner. This record-breaking detection is making astronomers rethink how quickly galaxies formed in the early universe.

Discovered last year, JADES-GS-z14-0 is the most distant confirmed galaxy ever found: it is so far away, its light took 13.4 billion years to reach us, meaning we see it as it was when the universe was less than 300 million years old, about 2% of its present age.

The new oxygen detection with ALMA, a telescope array in Chile’s Atacama Desert, suggests the galaxy is much more chemically mature than expected.

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