Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog – Page 3

Get the latest international news and world events from around the world.

Log in for authorized contributors

New memristor-based system could boost processing of radiofrequency signals

The development of more advanced technologies to process radiofrequency signals could further advance wireless communication, allowing devices connected to the internet to share information with each other faster and while consuming less energy. Currently, radio frequency signals are processed using software-defined radios (SDRs), systems that can modulate, filter and analyze signals using software rather than hardware components.

Despite their widespread use, these systems rely on purely digital hardware in which computing and memory modules are physically separated, leading to constant data shuttling between the two and hence extra energy consumption. Furthermore, the extensive use of circuit components known as analog-to-digital converters (ADCs), which convert incoming radiofrequency signals into digital values that can then be processed by digital computers, often results in processing delays (i.e., latency) and substantial energy consumption. Electronics engineers have thus been trying to develop alternative systems that can directly manipulate signals in their original (i.e., analog) form, which would reduce the movement of data and lower energy consumption.

Researchers at the University of Massachusetts Amherst, Texas A&M University and TetraMem Inc. recently introduced a promising new system for processing analog radiofrequency systems, which is based on non-volatile memory devices known as memristors integrated on a chip. Their proposed system, presented in a paper in Nature Electronics, was found to process radiofrequency signals significantly faster and more energy-efficiently than existing SDRs.

First direct images reveal atomic thermal vibrations in quantum materials

Researchers investigating atomic-scale phenomena impacting next-generation electronic and quantum devices have captured the first microscopy images of atomic thermal vibrations, revealing a new type of motion that could reshape the design of quantum technologies and ultrathin electronics.

Yichao Zhang, an assistant professor in the University of Maryland Department of Materials Science and Engineering, has developed an electron microscopy technique to directly image “moiré phasons”—a physical phenomenon that impacts superconductivity and heat conduction in for next-generation electronic and .

A paper about the research, which documents images of the thermal vibration of for the first time, has been published in the journal Science.

Genetic variants linked with higher risk of developing bipolar disorder

Bipolar disorder is a mental health condition characterized by extreme mood swings, with alternating periods of depression and manic episodes. Past research suggests that bipolar disorder has a strong genetic component and is among the most heritable psychiatric disorders.

To better understand the that increase the risk of developing this mental health disorder, neuroscientists and geneticists have carried out various genome-wide association studies (GWAS). These are essentially studies aimed at identifying specific regions of the human genome that are linked with an increased risk of having bipolar disorder, also referred to as bipolar risk loci.

While earlier works have identified many of these regions, causal single nucleotide polymorphisms (SNPs) for the disorder are largely unknown. These are essentially genetic variants that primarily contribute to bipolar disorder risk, as opposed to just being mere markers of it.

Neural biomarkers identified for obsessive-compulsive disorder symptoms in deep brain networks

For the first time, researchers at the Netherlands Institute for Neuroscience and Amsterdam UMC have identified what happens in neural networks deep within the brain during obsessive thoughts and compulsive behaviors. Using electrodes implanted in the brain, they observed how specific brain waves became active. These brain waves serve as a biomarker for obsessive-compulsive disorder (OCD) and are an important step towards more targeted treatments.

OCD is a psychiatric disorder in which people suffer from obsessive thoughts (obsessions) and compulsive behaviors (compulsions). A well-known example is fear of contamination: someone is constantly afraid of becoming infected (the obsession) and feels compelled to wash their hands over and over again (the compulsion).

In OCD, communication appears to be disrupted between the , the striatum, and the thalamus, areas of the brain that together form the CSTC circuit. Normally, this circuit mainly coordinates movement and motivation.

Spin waves observed directly at nanoscale for first time

For the first time, spin waves, also known as magnons, have been directly observed at the nanoscale. This breakthrough was made possible by combining a high–energy-resolution electron microscope with a theoretical method developed at Uppsala University. The results open exciting new opportunities for studying and controlling magnetism at the nanoscale.

Seeing the unseen: Laser acceleration technology shows microscopic particle behavior

Researchers from Trinity College Dublin’s School of Engineering have built a powerful new machine that lets us watch precisely what happens when tiny particles—far smaller than a grain of sand—hit a surface at extremely high speeds. It’s the only machine like it in Europe, and it took over two years to design and build.

Supercomputer simulation clarifies how turbulent boundary layers evolve at moderate Reynolds numbers

Scientists at the University of Stuttgart’s Institute of Aerodynamics and Gas Dynamics (IAG) have produced a novel dataset that will improve the development of turbulence models. With the help of the Hawk supercomputer at the High-Performance Computing Center Stuttgart (HLRS), investigators in the laboratory of Dr. Christoph Wenzel conducted a large-scale direct numerical simulation of a spatially evolving turbulent boundary layer.

Using more than 100 million CPU hours on Hawk, the simulation is unique in that it captures the onset of a canonical, fully-developed turbulent state in a single computational domain. The study also identified with unprecedented clarity an inflection point at which the outer region of the turbulent boundary layer begins to maintain a self-similar structure as it moves toward high Reynolds numbers. The results appear in a new paper published in the Journal of Fluid Mechanics.

“Our team’s goal is to understand unexplored parameter regimes in turbulent boundary layers,” said Jason Appelbaum, a Ph.D. candidate in the Wenzel Lab and leader of this research. “By running a large-scale simulation that fully resolves the entire development of turbulence from an early to an evolved state, we have generated the first reliable, full-resolution dataset for investigating how high-Reynolds-number effects emerge.”

Physicists use terahertz light to manipulate electronic properties in 2D materials

Physicists at Bielefeld University and the Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden) have developed a method to control atomically thin semiconductors using ultrashort light pulses. The study, published in Nature Communications, could pave the way for components that are controlled at unprecedented speeds directly by light—ushering in a new generation of optoelectronic devices.

New method simplifies analysis of complex quantum systems with strong interactions

A research team led by TU Darmstadt has transformed a difficult problem in quantum physics into a much simpler version through innovative reformulation—without losing any important information. The scientists have thus developed a new method for better understanding and predicting difficult quantum mechanical systems. The study is published in Physical Review Letters.

This problem has long preoccupied : How can systems consisting of many atoms, between which strong attractive forces act, be described mathematically? Already for about 10 particles, such systems are at the limits of current numerical methods.

It becomes particularly complicated when the atoms are exposed to an external force. However, this is the case in many experiments with cold atoms due to the way in which motion is restricted to one dimension, for example. Such systems of strongly interacting particles in one dimension were proposed in the 1960s and have since served as a reference problem in theoretical physics. So far, they have only been solved in a few special cases.

Theory-guided strategy expands the scope of measurable quantum interactions

A new theory-guided framework could help scientists probe the properties of new semiconductors for next-generation microelectronic devices, or discover materials that boost the performance of quantum computers.

Research to develop new or better materials typically involves investigating properties that can be reliably measured with existing , but this represents just a fraction of the properties that scientists could potentially probe in principle. Some properties remain effectively “invisible” because they are too difficult to capture directly with existing methods.

Take electron–phonon interaction—this property plays a critical role in a material’s electrical, thermal, optical, and superconducting properties, but directly capturing it using existing techniques is notoriously challenging.