Ames Laboratory has developed a method to measure magnetic properties of superconducting and magnetic materials that exhibit unusual quantum behavior at very low temperatures in high magnetic fields.
In novel concepts of magnetic data storage, it is intended to send small magnetic bits back and forth in a chip structure, store them densely packed and read them out later. The magnetic stray field generates problems when trying to generate particularly tiny bits. Now, researchers were able to put an 'invisibility cloak' over the magnetic structures. In this fashion, the magnetic stray field can be reduced in a fashion allowing for small yet mobile bits.
A team of scientists led by Professor Richard Layfield at the University of Sussex has published breakthrough research in molecule-based magnetic information storage materials.
Researchers at the University of Jyväskylä have taken part in an international British-Finnish-Chinese collaboration where the first molecule capable of remembering the direction of a magnetic above liquid nitrogen temperatures has been prepared and characterized. The results may be used in the future to massively increase the storage capacity of hard disks without increasing their physical size.
Electric vehicles and most electronic devices, such as cell phones and laptop computers, are powered by lithium-ion batteries. Until now, manufacturers have had to design their devices around the size and shape of commercially available batteries. But researchers have developed a new method to 3D print lithium-ion batteries in virtually any shape. They report their results in ACS Applied Energy Materials.
Researchers at the University of Sussex have become the first in the world to develop technology which can bend sound waves around an obstacle and levitate an object above it.
Scientists have assumed that future terahertz data links would have an inherent immunity to eavesdropping, but new research shows that's not necessarily the case.
Researchers from Tokyo Metropolitan University have applied machine-learning techniques to achieve fast, accurate estimates of local geomagnetic fields using data taken at multiple observation points, potentially allowing detection of changes caused by earthquakes and tsunamis. A deep neural network (DNN) model was developed and trained using existing data; the result is a fast, efficient method for estimating magnetic fields for unprecedentedly early detection of natural disasters. This is vital for developing effective warning systems that might help reduce casualties and widespread damage.
Researchers from Japan have taken a step toward faster and more advanced electronics by developing a way to better measure and manipulate conductive materials through scanning tunneling microscopy.
A team of experimental physicists at the University of Illinois at Urbana-Champaign have made the first observation of a specific type of topological insulators that's induced by disorder. Professor Bryce Gadway and his graduate students Eric Meier and Alex An used atomic quantum simulation, an experimental technique employing finely tuned lasers and ultracold atoms about a billion times colder than room temperature, to mimic the physical properties of one-dimensional electronic wires with precisely tunable disorder.