Researchers have discovered a new mechanism in magnetic compounds that couples multiple topological bands. The coupling can significantly enhance the effects of quantum phenomena. Researchers at the Max Planck Institute for Chemical Physics of Solids in Dresden, the University of South Florida in the USA, and co-workers have discovered a new mechanism in magnetic compounds…

Simulation of non-Hermitian quantum mechanics using a quantum computer goes beyond centuries old conventions. The rules of quantum physics — which govern how very small things behave — use mathematical operators called Hermitian Hamiltonians. Hermitian operators have underpinned quantum physics for nearly 100 years but recently, theorists have realized that it is possible to extend…

First-ever biologically authentic computer model was completed of the HIV-1 virus liposome. Key finding from the simulations is the formation of sphingomyelin and cholesterol rich microdomains. HIV-1 is known to preferentially bud from regions of the host cell membrane where these constituents are in high abundance. Scientists are hopeful this basic research into viral envelopes…

Scientists have made a path-breaking discovery in strontium ruthenate — with potential for new applications in quantum electronics. Since the discovery of superconductivity in Sr2RuO4 in 1994, hundreds of studies have been published on this compound, which have suggested that Sr2RuO4 is a very special system with unique properties. These properties make Sr2RuO4 a material…

A research team has recently developed a novel semiconductor deposition scheme and demonstrated high-performance photodetectors (PDs) grown on silicon-on-insulators (SOI) for silicon photonics. These III-V photodetectors are qualified candidates for high-speed data communications in silicon photonics. These results point to a practical solution for the monolithic integration of III-V active devices and Si-based passive devices…

Losing particles can lead to positive, robust effects. An international collaboration has demonstrated a novel topology arising from losses in hybrid light-matter particles, introducing a new avenue to induce the highly-prized effects inherent to conventional topological materials, which can potentially revolutionise electronics. The study represents an experimental observation of a non-Hermitian topological invariant in a…

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed. Computer vision has progressed much over the past decade and made its way into all sorts of relevant applications, both in academia and in our daily lives. There are, however, some tasks in…

A new study shows that mathematical topology can reveal how human cells organize into complex spatial patterns, helping to categorize them by the formation of branched and clustered structures. To most of us, the two differ in the way they taste or in their compatibility with morning coffee. But to a topologist, the only difference…

Scientists have collaborated to build a structurally-motivated deep learning method built from recent advances in neural language modeling. The team’s deep-learning model, called D-SCRIPT, was able to predict protein-protein interactions (PPIs) from primary amino acid sequences. Those predictions allow researchers to model PPI networks with a clustering method and enable the detection of functional subnetworks,…

Researchers developed a novel artificial intelligence algorithm for clinical applications called ‘scArches’. It efficiently compares patients’ cells with a reference atlas of cells of healthy individuals. This enables physicians to pinpoint cells in disease and prioritize them for personalized treatment in each patient. Researchers from Helmholtz Zentrum Munchen and the Technical University of Munich (TUM)…