Aurelia Butler

Engineers at the University of Cincinnati say the technology might not be far off. They trained a computer — using data from wearable technology that measures respiration, heart rates and perspiration — to identify the type of conversation two people were having based on their physiological responses alone.
Researchers studied a phenomenon in which people’s heart rates, respiration and other autonomic nervous system responses become synchronized when they talk or collaborate. Known as physiological synchrony, this effect is stronger when two people engage deeply in a conversation or cooperate closely on a task.
“Physiological synchrony shows up even when people are talking over Zoom,” said study co-author Vesna Novak, an associate professor of electrical engineering in UC’s College of Engineering and Applied Science.
In experiments with human participants, the computer was able to differentiate four different conversation scenarios with as much as 75% accuracy. The study is one of the first of its kind to train artificial intelligence how to recognize aspects of a conversation based on the participants’ physiology alone.
The study was published in the journal IEEE Transactions on Affective Computing.

Lead author and UC doctoral student Iman Chatterjee said a computer could give you honest feedback about your date — or yourself.
“The computer could tell if you’re a bore,” Chatterjee said. “A modified version of our system could measure the level of interest a person is taking in the conversation, how compatible the two of you are and how engaged the other person is in the conversation.”
Chatterjee said physiological synchrony is likely an evolutionary adaptation. Humans evolved to share and collaborate with each other, which manifests even at a subconscious level, he said.
“It is certainly no coincidence,” he said. “We only notice physiological synchrony when we measure it, but it probably creates a better level of coordination.”
Studies have shown that physiological synchrony can predict how well two people will work together to accomplish a task. The degree of synchrony also correlates with how much empathy a patient perceives in a therapist or the level of engagement students feel with their teachers.
“You could probably use our system to determine which people in an organization work better together in a group and which are naturally antagonistic,” Chatterjee said.
This aspect of affective computing holds huge potential for providing real-time feedback for educators, therapists or even autistic people, Novak said.
“There are a lot of potential applications in this space. We’ve seen it pitched to look for implicit bias. You might not even be aware of these biases,” Novak said. More

For all of the unparalleled, parallel-processing, still-indistinguishable-from-magic wizardry packed into the three pounds of the adult human brain, it obeys the same rule as the other living tissue it controls: Oxygen is a must.
So it was with a touch of irony that Evgeny Tsymbal offered his explanation for a technological wonder — movable, data-covered walls mere atoms wide — that may eventually help computers behave more like a brain.
“There was unambiguous evidence that oxygen vacancies are responsible for this,” said Tsymbal, George Holmes University Professor of physics and astronomy at the University of Nebraska-Lincoln.
In partnership with colleagues in China and Singapore, Tsymbal and a few Husker alumni have demonstrated how to construct, control and explain the oxygen-deprived walls of a nanoscopically thin material suited to next-gen electronics.
Unlike most digital data-writing and -reading techniques, which speak only the binary of 1s and 0s, these walls can talk in several electronic dialects that could allow the devices housing them to store even more data. Like synapses in the brain, the passage of electrical spikes sent via the walls can depend on which signals have passed through before, lending them an adaptability and energy-efficiency more akin to human memory. And much as brains maintain memories even when their users sleep, the walls can retain their data states even if their devices turn off — a precursor to electronics that power back on with the speed and simplicity of a light.
The team investigated the barrier-smashing walls in a nanomaterial, named bismuth ferrite, that can be sliced thousands of times thinner than a human hair. Bismuth ferrite also boasts a rare quality known as ferroelectricity: The polarization, or separation, of its positive and negative electric charges can be flipped by applying just a pinch of voltage, writing a 1 or 0 in the process. Contrary to conventional DRAM, a dynamic random-access memory that needs to be refreshed every few milliseconds, that 1 or 0 remains even when the voltage is removed, granting it the equivalent of long-term memory that DRAM lacks.

Usually, that polarization is read as a 1 or 0, and flipped to rewrite it as a 0 or 1, in a region of material called a domain. Two oppositely polarized domains meet to form a wall, which occupies just a fraction of the space dedicated to the domains themselves. The few-atom thickness of those walls, and the unusual properties that sometimes emerge in or around them, have cast them as prime suspects in the search for new ways to squeeze ever-more functionality and storage into shrinking devices.
Still, walls that run parallel to the surface of a ferroelectric material — and net an electric charge usable in data processing and storage — have proven difficult to find, let alone regulate or create. But about four years ago, Tsymbal began talking with Jingsheng Chen from the National University of Singapore and He Tian from China’s Zhejiang University. At the time, Tian and some colleagues were pioneering a technique that allowed them to apply voltage on an atomic scale, even as they recorded atom-by-atom displacements and dynamics in real time.
Ultimately, the team found that applying just 1.5 volts to a bismuth ferrite film yielded a domain wall parallel to the material’s surface — one with a specific resistance to electricity whose value could be read as a data state. When voltage was withdrawn, the wall, and its data state, remained.
When the team cranked up the voltage, the domain wall began migrating down the material, a behavior seen in other ferroelectrics. Whereas the walls in those other materials had then propagated perpendicular to the surface, though, this one remained parallel. And unlike any of its predecessors, the wall adopted a glacial pace, migrating just one atomic layer at a time. Its position, in turn, corresponded with changes in its electrical resistance, which dropped in three distinct steps — three more readable data states — that emerged between the application of 8 and 10 volts.
The researchers had nailed down a few W’s — the what, the where, the when — critical to eventually employing the phenomenon in electronic devices. But they were still missing one. Tsymbal, as it happened, was among the few people qualified to address it.

“There was a puzzle,” Tsymbal said. “Why does it happen? And this is where theory helped.”
Most domain walls are electrically neutral, possessing neither a positive nor a negative charge. That’s with good reason: A neutral wall requires little energy to maintain its electric state, effectively making it the default. The domain wall the team identified in the ultra-thin bismuth ferrite, by contrast, possessed a substantial charge. And that, Tsymbal knew, should have kept it from stabilizing and persisting. Yet somehow, it was managing to do just that, seeming to flout the rules of condensed-matter physics.
There had to be an explanation. In his prior research, Tsymbal and colleagues had found that the departure of negatively charged oxygen atoms, and the positively charged vacancies they left in their wake, could impede a technologically useful outcome. This time, Tsymbal’s theory-backed calculations suggested the opposite — that the positively charged vacancies were compensating for other negative charges accumulating at the wall, essentially fortifying it in the process.
Experimental measurements from the team would later show that the distribution of charges in the material lined up almost exactly with the location of the domain wall, exactly as the calculations had predicted. If oxygen vacancies turn up in other ferroelectric playgrounds, Tsymbal said, they could prove vital to better understanding and engineering devices that incorporate the prized class of materials.
“From my perspective, that was the most exciting,” said Tsymbal, who undertook the research with support from the university’s quantum-focused EQUATE project. “This links ferroelectricity with electrochemistry. We have some kind of electrochemical processes — namely, the motion of oxygen vacancies — which basically control the motion of these domain walls.
“I think that this mechanism is very important, because what most people are doing — including us, theoretically — is looking at pristine materials, where polarization switches up and down, and studying what happens with the resistance. All the experimental interpretations of this behavior were based on this simple picture of polarization. But here, it’s not only the polarization. It involves some chemical processes inside of it.”
The team detailed its findings in the journal Nature. Tsymbal, Tian and Chen authored the study with Ze Zhang, Zhongran Liu, Han Wang, Hongyang Yu, Yuxuan Wang, Siyuan Hong, Meng Zhang, Zhaohui Ren and Yanwu Xie, as well as Husker alumni Ming Li, Lingling Tao and Tula Paudel. More

Researchers from North Carolina State University and the University of North Carolina at Chapel Hill used chiral phonons to convert wasted heat into spin information — without needing magnetic materials. The finding could lead to new classes of less expensive, energy-efficient spintronic devices for use in applications ranging from computational memory to power grids.
Spintronic devices are electronic devices that harness the spin of an electron, rather than its charge, to create current used for data storage, communication, and computing. Spin caloritronic devices — so-called because they utilize thermal energy to create spin current — are promising because they can convert waste heat into spin information, which makes them extremely energy efficient. However, current spin caloritronic devices must contain magnetic materials in order to create and control the electron’s spin.
“We used chiral phonons to create a spin current at room temperature without needing magnetic materials,” says Dali Sun, associate professor of physics and member of the Organic and Carbon Electronics Lab (ORaCEL) at North Carolina State University.
“By applying a thermal gradient to a material that contains chiral phonons, you can direct their angular momentum and create and control spin current.” says Jun Liu, associate professor of mechanical and aerospace engineering at NC State and ORaCEL member.
Both Liu and Sun are co-corresponding authors of the research, which appears in Nature Materials.
Chiral phonons are groups of atoms that move in a circular direction when excited by an energy source — in this case, heat. As the phonons move through a material, they propagate that circular motion, or angular momentum, through it. The angular momentum serves as the source of spin, and the chirality dictates the direction of the spin.

“Chiral materials are materials that cannot be superimposed on their mirror image,” Sun says. “Think of your right and left hands — they are chiral. You can’t put a left-handed glove on a right hand, or vice versa. This ‘handedness’ is what allows us to control the spin direction, which is important if you want to use these devices for memory storage.”
The researchers demonstrated chiral phonon-generated spin currents in a two-dimensional layered hybrid organic-inorganic perovskite by using a thermal gradient to introduce heat to the system.
“A gradient is needed because temperature difference in the material — from hot to cold — drives the motion of the chiral phonons through it,” says Liu. “The thermal gradient also allows us to use captured waste heat to generate spin current.”
The researchers hope that the work will lead to spintronic devices that are cheaper to produce and can be used in a wider variety of applications.
“Eliminating the need for magnetism in these devices means you’re opening the door wide in terms of access to potential materials,” Liu says. “And that also means increased cost-effectiveness.”
“Using waste heat rather than electric signals to generate spin current makes the system energy efficient — and the devices can operate at room temperature,” Sun says. “This could lead to a much wider variety of spintronic devices than we currently have available.”
The research was supported by the National Science Foundation and the U.S. Department of Energy. Wei You, professor of chemistry at the University of North Carolina at Chapel Hill and a member of ORaCEL, is also a co-corresponding author of the study. More