Showing 20 articles starting at article 1
Categories: Mathematics: Modeling, Physics: Quantum Physics
Published Unconventional interface superconductor could benefit quantum computing



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.'
Published Langbeinites show talents as 3D quantum spin liquids



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.
Published Kagome superconductor makes waves



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.
Published Toward a code-breaking quantum computer



Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.
Published AI tackles one of the most difficult challenges in quantum chemistry



New research using neural networks, a form of brain-inspired AI, proposes a solution to the tough challenge of modelling the states of molecules.
Published Physicists shine new light on ultra-fast atomic processes



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.
Published Self-improving AI method increases 3D-printing efficiency



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.
Published First visualization of valence electrons reveals fundamental nature of chemical bonding



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.
Published New heaviest exotic antimatter nucleus



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.
Published Explanation found for X-ray radiation from black holes



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.
Published Scientists harness quantum microprocessor chips for revolutionary molecular spectroscopy simulation



Engineering researchers have successfully developed a quantum microprocessor chip for molecular spectroscopy simulation of actual large-structured and complex molecules.
Published Peering into the mind of artificial intelligence to make better antibiotics



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.
Published AI model aids early detection of autism



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.
Published Large Hadron Collider pipe brings search for elusive magnetic monopole closer than ever



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.
Published Why do researchers often prefer safe over risky projects? Explaining risk aversion in science



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.
Published New insight Into behavior of electrons



Physicists have uncovered new states of matter by exploring the behavior of flatland electrons in extreme conditions, revealing insights that could impact quantum computing and advanced materials.
Published Quantum pumping in molecular junctions



Researchers have developed a new theoretical modelling technique that could potentially be used in the development of switches or amplifiers in molecular electronics.
Published Advancing modular quantum information processing



A team of physicists envisions a modular system for scaling quantum processors with a flexible way of linking qubits over long distances to enable them to work in concert to perform quantum operations. The ability to carry out such correlated or 'entangling' operations between linked qubits is the basis of the enhanced power quantum computing holds compared with current computers.
Published Physicists throw world's smallest disco party



A new milestone has been set for levitated optomechanics as a group of scientists observed the Berry phase of electron spins in nano-sized diamonds levitated in vacuum.
Published In subdivided communities cooperative norms evolve more easily



Researchers simulated social norms with a supercomputer. Their findings contribute to a deeper understanding of the evolution of social norms and their role in fostering cooperative behavior.