News
Radiation Synergy Unlocks Complex Material Behaviours
4+ hour, 15+ min ago (422+ words) Scientists are increasingly recognising that combining different physical influences can yield results far greater than the sum of their parts. This principle, termed synergism, is now being applied to understanding how materials respond to radiation exposure. The work offers a…...
Layering Boosts Heat Flow In New Material
15+ hour, 47+ min ago (308+ words) Efficient heat dissipation is a persistent challenge in miniaturising electronic devices. New work with the material rhenium disulfide reveals a surprising degree of control over how heat flows through layered structures. By carefully stacking atomic sheets, scientists can dramatically alter…...
Steel Strength Boosted By Interface Atom Arrangement
16+ hour, 8+ min ago (296+ words) These elements accumulate particularly around misfit dislocations, defects in the crystal structure, creating localized traps that dramatically alter the interface's behaviour. Antimony, tin, phosphorus, and arsenic substantially weaken the cohesion of coherent interfaces, whereas nickel has minimal effect and chromium…...
Researchers Examine How Crystal Structure Impacts Polarisation In Energy Materials
1+ day, 1+ hour ago (517+ words) Researchers Examine How Crystal Structure Impacts Polarisation In Energy Materials'Quantum Zeitgeist Ionic crystals underpin numerous technologies, from energy storage to sensing, yet defining macroscopic polarisation within these materials at the atomic scale remains a fundamental challenge. Shoham Sen and Kaushik…...
Manganese Vacancies Explain Battery Fade In Potential Grid-Scale Energy Storage
1+ day, 6+ hour ago (769+ words) Manganese Vacancies Explain Battery Fade In Potential Grid-Scale Energy Storage'Quantum Zeitgeist Scientists are actively investigating the capacity fade observed in manganese dioxide (MnO) cathodes, a significant limitation for rechargeable aqueous zinc-ion batteries intended for large-scale energy storage. Caio Miranda Miliante,…...
Artificial Intelligence Swiftly Predicts Starlight Signatures From Space Molecules
1+ day, 6+ hour ago (271+ words) These PAHs are crucial molecules in astrochemistry, believed to be the primary source of aromatic infrared bands (AIBs) observed throughout interstellar space. Analysing AIBs is notoriously difficult due to the vast structural diversity within the PAH family, hindering the creation…...
Machine Learning Reveals Links Between Surface Texture And Liquid Behaviour On Metal Alloys
1+ day, 11+ hour ago (898+ words) Researchers have demonstrated a machine learning model capable of accurately predicting the water contact angle of copper, silver, and their alloys on silicon, based solely on texture and optical properties, offering a route to engineer surfaces with specific wetting characteristics....
Machine Learning Boosts Accuracy Of Quantum Simulations For Molecular Changes
1+ day, 11+ hour ago (357+ words) The research introduces a technique leveraging automatic differentiation to compute these nuclear gradients, the forces acting on atomic nuclei, with a computational efficiency comparable to calculating the energy itself. Validation against established finite difference methods demonstrates excellent agreement, confirming the…...
New Material Modelling Technique Predicts Microstructure Formation Without Complex Calculations
1+ day, 11+ hour ago (813+ words) New Material Modelling Technique Predicts Microstructure Formation Without Complex Calculations'Quantum Zeitgeist Spinodal decomposition, a fundamental process governing microstructure formation in materials, frequently hinders accurate predictive modelling due to the difficulty of establishing parameter-free methods that effectively represent local energy landscapes....
Higher-Dimensional Systems Cool Oscillators More Efficiently Than Two-Level Regulators
1+ day, 13+ hour ago (518+ words) Researchers have demonstrated that cooling an oscillating system to its lowest energy state is fundamentally limited when using a simple two-level regulator, but can be significantly improved by employing higher-dimensional regulators and is particularly effective in linear, hybrid quantum systems....