Tomography-based digital twins of Nd-Fe-b magnets
Peer-Reviewed Publication
Updates every hour. Last Updated: 28-Apr-2024 08:08 ET (28-Apr-2024 12:08 GMT/UTC)
Researchers Kazuaki Takasan and Kyogo Kawaguchi of the University of Tokyo with Kyosuke Adachi of RIKEN, Japan's largest comprehensive research institution, have demonstrated that ferromagnetism, an ordered state of atoms, can be induced by increasing particle motility and that repulsive forces between atoms are sufficient to maintain it. The discovery not only extends the concept of active matter to quantum systems but also contributes to the development of novel technologies that rely on the magnetic properties of particles, such as magnetic memory and quantum computing. The findings were published in the journal Physical Review Research.
Cobalt-substituted BiFeO3 nanodots, engineered by Tokyo Tech researchers, demonstrate magnetoelectric-coupled ferroelectric and ferromagnetic single domain, offering significant promise for the advancement of low-power, nonvolatile magnetic memory devices. This innovation opens avenues for memory technologies where data can be written and read via electric and magnetic fields, respectively, thereby enhancing energy efficiency. This breakthrough can lead to the development of more energy-efficient memory technologies to meet the demands of modern electronic applications.
For the first time, research shows that a certain kind of visual illusion, neon color spreading, works on mice. The study is also the first to combine the use of two investigative techniques called electrophysiology and optogenetics to study this illusion. Results from experiments on mice settle a long-standing debate in neuroscience about which levels of neurons within the brain are responsible for the perception of brightness.
Chemical and heat treatment of sewage sludge can recover phosphorus in a process that could help address the problem of diminishing supplies of phosphorus ores.
The use of pliable soft materials to collaborate with humans and work in disaster areashas drawn much recent attention. However, controlling soft dynamics for practical applications has remained a significant challenge. Researchers developed a method to control pneumatic artificial muscles, which are soft robotic actuators. Rich dynamics of these drive components can be exploited as a computational resource.