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A pair of chemists at the University of Groningen in the Netherlands, has observed communication between rotors in a molecular motor. In their study, reported in the Journal of the American Chemical Society, Carlijn van Beek and Ben Feringa conducted experiments with alkene-based molecular motors.

Molecular motors are natural or artificial molecular machines that convert energy into movement in living organisms. One example would be DNA polymerase turning single-stranded DNA into double-stranded DNA. In this new effort, the researchers were experimenting with light-driven, alkene-based molecular motors, using light to drive molecular rotors. As part of their experiments, they created a motor comprising three gears and two rotors and observed an instance of communication between two of the rotors.

To build their motor, the researchers started with parts of existing two motors, bridging them together. The resulting isoindigo structure, they found, added another dimension to their motor relative to other synthesized motors—theirs had a doubled, metastable intermediary connecting two of the rotors, allowing for communication between the two.

The story of how life started on Earth is one that scientists are eager to learn. Researchers may have uncovered an important detail in the plot of chapter one: an explanation of how bubbles of fat came to form the membranes of the very first cells.

A key part of the new findings, made by a team from The Scripps Research Institute in California, is that a chemical process called phosphorylation may have happened earlier than previously thought.

Continue reading “We May Finally Know How The First Cells on Earth Formed” »

Computing has already accelerated scientific discovery. Now scientists say a combination of advanced AI with next-generation cloud computing is turbocharging the pace of discovery to speeds unimaginable just a few years ago.

Microsoft and the Pacific Northwest National Laboratory (PNNL) in Richland, Washington, are collaborating to demonstrate how this acceleration can benefit chemistry and materials science – two scientific fields pivotal to finding energy solutions that the world needs.

Scientists at PNNL are testing a new battery material that was found in a matter of weeks, not years, as part of the collaboration with Microsoft to use to advanced AI and high-performance computing (HPC), a type of cloud-based computing that combines large numbers of computers to solve complex scientific and mathematical tasks.

There was a APS presentation by Ulsan Korea University researchers.

It is being reported that numerous comments on the Chinese website Zhihu imply that the University of Ulsan’s data plot is so important that a certain superconductivity expert saw the decisive signal proving LK99’s superconductivity in the graph’s temperature rise curve near 200K.

Nextbigfuture does not understand how a resistance rise implies any superconductivity but it is a thin film LK99-related material. Previously, LK99 thin film analysis by the original Korea researchers had found superconducting levels of resistance with chemically vapor deposited thin film.

Universal behavior is a central property of phase transitions, which can be seen, for example, in magnets that are no longer magnetic above a certain temperature. A team of researchers from Kaiserslautern, Berlin and Hainan, China, has succeeded for the first time in observing such universal behavior in the temporal development of an open quantum system, a single cesium atom in a bath of rubidium atoms.

This finding helps to understand how quantum systems reach equilibrium. This is of interest to the development of quantum technologies, for example. The study has been published in Nature Communications.

Phase transitions in chemistry and physics are changes in the state of a substance, for example, the change from a liquid to a gaseous phase, when an external parameter such as temperature or pressure is changed.

Catalysts unlock pathways for chemical reactions to unfold at faster and more efficient rates, and the development of new catalytic technologies is a critical part of the green energy transition.

The Rice University lab of nanotechnology pioneer Naomi Halas has uncovered a transformative approach to harnessing the catalytic power of aluminum nanoparticles by annealing them in various gas atmospheres at high temperatures.

According to a study published in the Proceedings of the National Academy of Sciences, Rice researchers and collaborators showed that changing the structure of the oxide layer that coats the particles modifies their catalytic properties, making them a versatile tool that can be tailored to suit the needs of different contexts of use from the production of sustainable fuels to water-based reactions.

A research team has successfully synthesized a metal nanocluster and determined its crystal structure. Their study provides experimental evidence for understanding and designing nanoclusters with specific properties at the atomic level. Metal nanoclusters have wide-ranging applications in the biomedical field.

Their work is published in the journal Polyoxometalates.

Scientists have shown interest in ligand-protected atomically precise metal nanoclusters because they have definite atomic structures and exceptional physical and chemical properties. These properties include attributes such as luminescence, chirality, electrochemistry, and catalysis.

Inspired by the color-changing ability of chameleons, researchers have developed a sustainable technique to 3D-print multiple, dynamic colors from a single ink.

“By designing new chemistries and printing processes, we can modulate structural color on the fly to produce color gradients not possible before,” said Ying Diao, an associate professor of chemistry and chemical and biomolecular engineering at the University of Illinois Urbana-Champaign and a researcher at the Beckman Institute for Advanced Science and Technology.

The study appears in the journal PNAS.

Scientists from the National University of Singapore (NUS) have pioneered a new methodology of fabricating carbon-based quantum materials at the atomic scale by integrating scanning probe microscopy techniques and deep neural networks. This breakthrough highlights the potential of implementing artificial intelligence (AI) at the sub-angstrom scale for enhanced control over atomic manufacturing, benefiting both fundamental research and future applications.

Open-shell magnetic nanographenes represent a technologically appealing class of new carbon-based quantum materials, which host robust π-spin centres and non-trivial collective quantum magnetism. These properties are crucial for developing high-speed electronic devices at the molecular level and creating quantum bits, the building blocks of quantum computers. Despite significant advancements in the synthesis of these materials through on-surface synthesis, a type of solid-phase chemical reaction, achieving precise fabrication and tailoring of the properties of these quantum materials at the atomic level has remained a challenge.

The figure illustrates the chemist-intuited atomic robotic probe that would allow chemists to precisely fabricate organic quantum materials at the single-molecule level. The robotic probe can conduct real-time autonomous single-molecule reactions with chemical bond selectivity, demonstrating the fabrication of quantum materials with a high level of control. (© Nature Synthesis)