Lifeboat Foundation

An exotic physical phenomenon known as a Kohn anomaly has been found for the first time in an unexpected type of material by researchers at MIT and elsewhere. They say the finding could provide new insights into certain fundamental processes that help determine why metals and other materials display the complex electronic properties that underlie much of today’s technology.

The way electrons interact with phonons—which are essentially vibrations passing through a crystalline material —determines the physical processes that take place inside many electronic devices. These interactions affect the way metals resist electric current, the temperature at which some materials suddenly become superconductors, and the very low temperature requirements for quantum computers, among many other processes.

But electron-phonon interactions have been difficult to study in detail because they are generally very weak. The new study has found a new, stronger kind of unusual electron-phonon interaction: The researchers induced a Kohn anomaly, which was previously thought to exist only in metals, in an exotic material called a topological Weyl semimetal. The finding could help shed light on important aspects of the complex interplay between electrons and phonons, they say.

To create large quantum networks, researchers will first need to develop efficient quantum repeaters. A key component of these repeaters are quantum memories, which are the quantum-mechanical equivalents of more conventional computer memories, such as random-access memories (RAM).

Ideally, a quantum memory should be able to retain information for substantial periods of time, store true quantum states, read out data efficiently and operate at low-loss telecommunication wavelengths. While research teams have made great progress in the development of quantum memories, no solution proposed so far has been able to meet all of these requirements simultaneously.

With this in mind, researchers at Delft University of Technology (TU Delft) set out to develop a new mechanical quantum memory with sufficiently long storage times, a high readout efficiency, and the ability to operate at telecom wavelengths. The memory they devised, presented in a paper published in Nature Physics, could ultimately enable the practical implementation of mechanical systems with quantum effects developed in their previous works.

The next major revolution in computer chip technology is now a step closer to reality. Researchers have shown that carbon nanotube transistors can be made rapidly in commercial facilities, with the same equipment used to manufacture traditional silicon-based transistors – the backbone of today’s computing industry.

While modern, scientific understanding of this complex network of neurons between our ears really only began in the last few decades, we’ve already learned a lot about the body’s control center — and have been given a lot to think about.

In this episode of The Abstract, we discuss the groundbreaking research in brain-computer technology offering new hope in restoring sensations and treating anxiety.

Our first story is about groundbreaking research in brain-computer interfaces that’s offering new hope for those who have lost their sense of touch. By decoding neural signals from the brain, researchers were able to create movement and sensory perception in paralyzed limbs. Innovations like these in sense-restoring technology could be life-changing for spinal cord patients and make a devastating loss of sensation reversible.

Accelerating progress in neuroscience is helping us understand the big picture—how animals behave and which brain areas are involved in bringing about these behaviors—and also the small picture—how molecules, neurons, and synapses interact. But there is a huge gap of knowledge between these two scales, from the whole brain down to the neuron.

A team led by Christos Papadimitriou, the Donovan Family Professor of Computer Science at Columbia Engineering, proposes a new computational system to expand the understanding of the brain at an intermediate level, between neurons and cognitive phenomena such as language. The group, which includes computer scientists from Georgia Institute of Technology and a neuroscientist from the Graz University of Technology, has developed a brain architecture that is based on neuronal assemblies, and they demonstrate its use in the syntactic processing in the production of language; their model, published online June 9 in PNAS, is consistent with recent experimental results.

“For me, understanding the brain has always been a computational problem,” says Papadimitriou, who became fascinated by the brain five years ago. “Because if it isn’t, I don’t know where to start.”

Data governs our lives more than ever. But when it comes to disease and death, every data point is a person, someone who became sick and needed treatment.

Recent studies have revealed that people suffering from the same disease category may have different manifestations. As doctors and scientists better understand the reasons underlying this variability, they can develop novel preventive, diagnostic and therapeutic approaches and provide optimal, personalized care for every patient.

To accomplish this goal often requires broadscale collaborations between physicians, basic researchers, theoreticians, experimentalists, computational biologists, computer scientists and data scientists, engineers, statisticians, epidemiologists and others. They must work together to integrate scientific and medical knowledge, theory, analysis of medical big data and extensive experimental work.

Continue reading “Israeli researchers explain how they are healing the world with precision” »

It’s easy to take time’s arrow for granted — but the gears of physics actually work just as smoothly in reverse. Maybe that time machine is possible after all?

An experiment from 2019 shows just how much wiggle room we can expect when it comes to distinguishing the past from the future, at least on a quantum scale. It might not allow us to relive the 1960s, but it could help us better understand why not.

Researchers from Russia and the US teamed up to find a way to break, or at least bend, one of physics’ most fundamental laws of energy.

Frequency multipliers, circuits that can produce signals with multiple frequencies, are essential components for a number of technological tools, particularly wireless communications systems. Most existing multipliers, however, are built using filtering and amplification circuits that are bulky and rapidly drain a lot of power.

Researchers at NaMLab in Germany have recently devised a single ferroelectric field-effect transistor that can serve both as a full-wave rectifier and frequency multiplier. The device they developed, presented in a paper published in Nature Electronics, is fully reconfigurable and energy-efficient, as it can be used in isolation, not requiring any additional circuits.

“Our institute (NaMLab) has been doing research on ferroelectric hafnium oxide (HfO₂) since this material’s ferroelectric properties were discovered in 2007,” Halid Mulaosmanovic, one of the researchers who carried out the study, told TechXplore. “An attractive electronic device that can be made using this material is a ferroelectric field-effect transistor (FeFET), which resembles conventional logic transistors, but has a ferroelectric layer in the gate stack.”

Approach to identifying the best drug targets gets critical test.