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An international team of chemists has successfully created methylenedistibiranes, which are three-membered rings that have two antimony atoms and one carbon atom. In their paper published in the Journal of the American Chemical Society, the group describes how they were able to make the rings using just a three-step process.

Methylenedistibiranes are generally used as intermediaries due to their ability to promote selective nucleophilic substitution, resulting in the creation of diantimonyl anions. Chemists have been wanting to be able to create them because it is difficult to use natural elements due to orbital overlap. The achievement by the team is noteworthy because making similar rings with heavier pnictogen elements like and bismuth has proven to be challenging due to changes in orbital overlap trends and energies.

To create the three-membered rings, the research team first synthesized diazadistiboylidenes using [3+2]-cycloaddition between distibene and diazoolefins, which are five-membered rings that have dual antimony, nitrogen and . The resulting stiboylidene served as an intermediary to promote the substitution of a species with bonds formed during donation of electron pairs. The researchers note that it was a surprise to them that the reaction worked as well as it did, since there are few examples of small ring formation with more than one antimony atom.

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Artificial intelligence (AI) once seemed like a fantastical construct of science fiction, enabling characters to deploy spacecraft to neighboring galaxies with a casual command. Humanoid AIs even served as companions to otherwise lonely characters. Now, in the very real 21st century, AI is becoming part of everyday life, with tools like chatbots available and useful for everyday tasks like answering questions, improving writing, and solving mathematical equations.

AI does, however, have the potential to revolutionize —in ways that can feel like but are within reach.

At the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, scientists are already using AI to automate experiments and discover new materials. They’re even designing an AI scientific companion that communicates in ordinary language and helps conduct experiments. Kevin Yager, the Electronic Nanomaterials Group leader at the Center for Functional Nanomaterials (CFN), has articulated an overarching vision for the role of AI in scientific research.

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Pulsed laser deposition is used for the heteroepitaxial growth of methylammonium lead iodide (CH3NH3PbI3) thin films on a KCl substrate at room temperature. Experimental and computational results confirm cubic phase stabilization by tensile epitaxial strain in the CH3NH3PbI3 thin films.

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Researchers have pioneered the use of parallel computing on graphics cards to simulate acoustic turbulence. This type of simulation, which previously required a supercomputer, can now be performed on a standard personal computer. The discovery will make weather forecasting models more accurate while enabling the use of turbulence theory in various fields of physics, such as astrophysics, to calculate the trajectories and propagation speeds of acoustic waves in the universe. The research was published in Physical Review Letters.

Turbulence is the complex chaotic behavior of fluids, gases or nonlinear waves in various physical systems. For example, at the ocean surface can be caused by wind or wind-drift currents, while turbulence of laser radiation in optics occurs as light is scattered by lenses. Turbulence can also occur in sound waves that propagate chaotically in certain media, such as superfluid helium.

In the 1970s, Soviet scientists proposed that turbulence occurs when sound waves deviate from equilibrium and reach large amplitudes. The theory of wave turbulence applies to many other wave systems, including magnetohydrodynamic waves in the ionospheres of stars and giant planets, and perhaps even in the early universe. Until recently, however, it has been nearly impossible to predict the propagation patterns of nonlinear (i.e., chaotically moving) acoustic and other waves because of the high computational complexity involved.

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For the first time ever, scientists have used a technique called “quantum squeezing” to improve the gas sensing performance of devices known as optical frequency comb lasers. These ultra-precise sensors are like fingerprint scanners for molecules of gas. Scientists have used them to spot methane leaks in the air above oil and gas operations and signs of COVID-19 infections in breath samples from humans.

Now, in a series of lab experiments, researchers have laid out a path for making those kinds of measurements even more sensitive and faster—doubling the speed of frequency comb detectors. The work is a collaboration between Scott Diddams at CU Boulder Boulder and Jérôme Genest at Université Laval in Canada.

“Say you were in a situation where you needed to detect minute quantities of a dangerous gas leak in a factory setting,” said Diddams, professor in the Department of Electrical, Computer and Energy Engineering. “Requiring only 10 minutes versus 20 minutes can make a big difference in keeping people safe.”

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Physically Intuitive Anisotropic Model of Hardness https://arxiv.org/abs/2412.

Skoltech researchers have presented a new simple physical model for predicting the hardness of materials based on information about the shear modulus and equations of the state of crystal structures. The model is useful for a wide range of practical applications—all parameters in it can be determined through basic calculations or measured experimentally.

The results of the study are presented in the Physical Review Materials journal.

Hardness is an important property of materials that determines their ability to resist deformations and other damage (dents, scratches) due to external forces. It is typically determined by pressing the indenter into the test sample, and the indenter must be made of a harder material, usually diamond.

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Researchers have revolutionized quantum technology by achieving long-lasting entanglement between molecules using ‘magic-wavelength optical tweezers.’

This breakthrough enhances the potential for quantum computing.

Performing computation using quantum-mechanical phenomena such as superposition and entanglement.

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Scientists develop DNADNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA). tabindex=0 DNA nanorobots capable of modifying artificial cells.

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“Code executed in this early boot phase can persist on the system, potentially loading malicious kernel extensions that survive both reboots and OS reinstallation,” the CERT Coordination Center (CERT/CC) said. “Additionally, it may evade detection by OS-based and endpoint detection and response (EDR) security measures.”

Malicious actors could further expand the scope of exploitation by bringing their own copy of the vulnerable “reloader.efi” binary to any UEFI system with the Microsoft third-party UEFI certificate enrolled. However, elevated privileges are required to deploy the vulnerable and malicious files to the EFI system partition: local administrator on Windows and root on Linux.

The Slovakian cybersecurity firm said it responsibly disclosed the findings to the CERT/CC in June 2024, following which Howyar Technologies and their partners addressed the issue in the concerned products. On January 14, 2025, Microsoft revoked the old, vulnerable binaries as part of its Patch Tuesday update.

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