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Categories: Mathematics: Modeling, Physics: General

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A multi-institutional team of scientists has developed a new superconductor material that could potentially be used in quantum computing and be a candidate 'topological superconductor.'

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A 3D quantum spin liquid has been discovered in the vicinity of a member of the langbeinite family. The material's specific crystalline structure and the resulting magnetic interactions induce an unusual behavior that can be traced back to an island of liquidity. An international team has made this discovery with experiments at the ISIS neutron source and theoretical modelling on a nickel-langbeinite sample.

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Superconductivity theory proposed by physics team validated in international experiment: Cooper pairs display wave-like distribution in Kagome metals, enabling new technological applications like superconducting diodes.

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Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.

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New research using neural networks, a form of brain-inspired AI, proposes a solution to the tough challenge of modelling the states of molecules.

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Scientists report incredibly small time delays in a molecule's electron activity when the particles are exposed to X-rays. To measure these tiny high-speed events, known as attoseconds, researchers used a laser to generate intense X-ray flashes that allowed them to map the inner workings of an atom.

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An artificial intelligence algorithm can allow researchers to more efficiently use 3D printing to manufacture intricate structures. The development could allow for more seamless use of 3D printing for complex designs in everything from artificial organs to flexible electronics and wearable biosensors. As part of the study, the algorithm learned to identify, and then print, the best versions of kidney and prostate organ models, printing out 60 continually improving versions.

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Who are we? Why are we here? We are stardust, the result of chemistry occurring throughout vast clouds of interstellar gas and dust. To better understand how that chemistry could create prebiotic molecules, researchers investigated the role of low-energy electrons created as cosmic radiation traverses through ice particles. Their findings may also inform medical and environmental applications on our home planet.

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A team of researchers has developed the first transmission electron microscope which operates at the temporal resolution of a single attosecond, allowing for the first still-image of an electron in motion.

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The distribution of outermost shell electrons, known as valence electrons, of organic molecules was observed for the first time. As the interactions between atoms are governed by the valence electrons, the findings shine light on the fundamental nature of chemical bonds, with implications for pharmacy and chemical engineering.

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New fusion simulations of the inside of a tokamak reveal the ideal spot for a 'cave' with flowing liquid lithium is near the bottom by the center stack, as the evaporating metal particles should land in just the right spot to dissipate excess heat from the plasma.

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Scientists studying the tracks of particles streaming from six billion collisions of atomic nuclei at the Relativistic Heavy Ion Collider (RHIC) -- an 'atom smasher' that recreates the conditions of the early universe -- have discovered a new kind of antimatter nucleus, the heaviest ever detected. Composed of four antimatter particles -- an antiproton, two antineutrons, and one antihyperon -- these exotic antinuclei are known as antihyperhydrogen-4.

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Researchers have developed molecular wires with periodic twists. By controlling the lengths of regions between twists, the electrical conductivity of individual polymer chains can be enhanced. This work may lead to novel organic electronics or single-molecule wires.

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Researchers have succeeded in something that has been pursued since the 1970s: explaining the X-ray radiation from the black hole surroundings. The radiation originates from the combined effect of the chaotic movements of magnetic fields and turbulent plasma gas.

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Engineering researchers have successfully developed a quantum microprocessor chip for molecular spectroscopy simulation of actual large-structured and complex molecules.

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Artificial intelligence (AI) has exploded in popularity as of late. But just like a human, it's hard to read an AI model's mind. Explainable AI (XAI) could help us do just that by providing justification for a model's decisions. And now, researchers are using XAI to scrutinize predictive AI models more closely, which could help make better antibiotics.

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A new machine learning model can predict autism in young children from relatively limited information. The model can facilitate early detection of autism, which is important to provide the right support.

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New research using a decommissioned section of the beam pipe from the Large Hadron Collider (LHC) at CERN has bought scientists closer than ever before to test whether magnetic monopoles exist. Scientists have revealed the most stringent constraints yet on the existence of magnetic monopoles, pushing the boundaries of what is known about these elusive particles.

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The finding could help future efforts to design superconductors that work at higher temperatures.

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A mathematical framework that builds on the economic theory of hidden-action models provides insight into how the unobservable nature of effort and risk shapes investigators' research strategies and the incentive structures within which they work, according to a new study.