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UNSW material scientists have shed new light on a promising new way to store and process information in computers and electronic devices that could significantly cut down the energy required to maintain our digital lifestyles.

Skyrmions, which can be described as ‘whirl’ shaped magnetic textures at the nano-level, have in recent years been flagged as contenders for a more efficient way to store and process information. One of their advantages is that they possess a kind of built-in enhanced stability over time, making stored information non-volatile and ‘live’ longer. Up until now, information in computers is processed through dynamic memory, which is less stable and therefore requires more energy to maintain.

According to researchers from UNSW Science, who also collaborated with researchers from Brookhaven National Laboratory in the US and the University of Auckland, the potential of what they call “ lattice manipulation” to lower energy consumption in electronics is an attractive alternative.

The obvious drawback of solar panels is that they require sunlight to generate electricity. Some have observed that for a device on Earth facing space, which has a frigid temperature, the chilling outflow of energy from the device can be harvested using the same kind of optoelectronic physics we have used to harness solar energy. New work, in a recent issue of Applied Physics Letters, from AIP Publishing, looks to provide a potential path to generating electricity like solar cells but that can power electronics at night. For more information see the IDTechEx report on Energy Harvesting Microwatt to Megawatt 2019–2029.

An international team of scientists has demonstrated for the first time that it is possible to generate a measurable amount of electricity in a diode directly from the coldness of the universe. The infrared semiconductor device faces the sky and uses the temperature difference between Earth and space to produce the electricity.

“The vastness of the universe is a thermodynamic resource,” said Shanhui Fan, an author on the paper. “In terms of optoelectronic physics, there is really this very beautiful symmetry between harvesting incoming radiation and harvesting outgoing radiation.”

Qualcomm is getting ready to usher in a new generation of super low-power Bluetooth earbud chips.

The QCC514X and the QCC304X will support Qualcomm’s TrueWireless Mirroring technology. This means that wireless connectivity is secured with a single earbud that is paired with another. When the user removes the primary earbud, the other mirroring bud takes over the connection without any interruption.

The units will also support active control, or noise cancellation, bringing the popular feature commonly found on high-end units to mid-priced and entry-level buds. Qualcomm says its hybrid ANC feature allows for ambient noise leak-through that allows substantial but not total external noise suppression. That makes it easier for users to speak with others while wearing the buds or to more easily hear car horns or alarms.

Sandia National Laboratories distinguished technical staff member Juan Elizondo-Decanini developed a new configuration for neutron generators by turning from conventional cylindrical tubes to the flat geometry of computer chips. The Neutristor is an ultra-compact, disposable, neutron generator 1000 times smaller than the closest competitor. The most practical application, and the most likely to be near-term, would be a tiny medical neutron source implanted close to a tumor that would allow cancer patients to receive a low neutron dose over a long period at home instead of having to be treated at a hospital. Elizondo-Decanini says the technology is ready to be licensed for some commercial applications, but other more complex commercial applications could take five to ten years.

Circa 2006


By Maggie Mckee

Nearly all of the information that falls into a black hole escapes back out, a controversial new study argues. The work suggests that black holes could one day be used as incredibly accurate quantum computers – if enormous theoretical and practical hurdles can first be overcome.

Black holes are thought to destroy anything that crosses a point of no return around them called an “event horizon”. But in the 1970s, Stephen Hawking used quantum mechanics to show black holes do emit radiation, which eventually evaporates them away completely.

Our body’s ability to detect disease, foreign material, and the location of food sources and toxins is all determined by a cocktail of chemicals that surround our cells, as well as our cells’ ability to ‘read’ these chemicals. Cells are highly sensitive. In fact, our immune system can be triggered by the presence of just one foreign molecule or ion. Yet researchers don’t know how cells achieve this level of sensitivity.

Now, scientists at the Biological Physics Theory Unit at Okinawa Institute of Science and Technology Graduate University (OIST) and collaborators at City University of New York have created a simple model that is providing some answers. They have used this model to determine which techniques a cell might employ to increase its sensitivity in different circumstances, shedding light on how the biochemical networks in our bodies operate.

“This model takes a complex biological system and abstracts it into a simple, understandable mathematical framework,” said Dr. Vudtiwat Ngampruetikorn, former postdoctoral researcher at OIST and the first author of the research paper, which was published in Nature Communications. “We can use it to tease apart how cells might choose to spend their energy budget, depending on the world around them and other cells they might be talking to.”

By bringing a quantitative toolkit to this biological question, the scientists found that they had a different perspective to the biologists. “The two disciplines are complimentary to one another,” said Professor Greg Stephens, who runs the unit. “Biologists tend to focus on one area and delve deeply into the details, whereas physicists simplify and look for patterns across entire systems. It’s important that we work closely together to make sure that our quantitative models aren’t too abstract and include the important details.”

On their computers, the scientists created the model that represented a cell. The cell had two sensors (or information processing units), which responded to the environment outside the cell. The sensors could either be bound to a molecule or ion from the outside, or unbound. When the number of molecules or ions in chemical cocktail outside the cell changed, the sensors would respond and, depending on these changes, either bind to a new molecule or ion, or unbind. This allowed the cell to gain information about the outside world and thus allowed the scientists to measure what could impact its sensitivity.

“Once we had the model, we could test all sorts of questions,” said Dr. Ngampruetikorn, “For example, is the cell more sensitive if we allow it to consume more energy? Or if we allow the two sensors to cooperate? How does the cell’s prior experiences influence its sensitivity?”

The scientists looked at whether allowing the cell to consume energy and allowing the two sensors to interact helped the cell achieve a higher level of sensitivity. They also decided to vary two other components to see if this had an impact—the level of noise, which refers to the amount of uncertainty or unnecessary information in the chemical cocktail, and the signal prior, which refers to the cell’s acquired knowledge, gained from past experiences.

Previous research had found that energy consumption and sensor interactions were important for cell sensitivity, but this research found that that was not always true. In some situations—such as if the chemical cocktail had a low level of noise and the correlations between different chemicals are high—the scientists found that allowing the cell to consume energy and the sensors to interact did help it achieve a higher level of sensitivity. However, in other situations—such as if there was a higher level of noise—this was not the case.

“It’s like tuning into a radio,” explained Professor Stephens. “If there’s too much static (or noise), it doesn’t do any good to turn up the radio (or, in this case, amplify the signal with energy and interactions).”

Despite this, Dr. Ngampruetikorn explained, energy consumption and sensor interactions do remain important mechanisms in many situations. “It would be interesting to continue to use this model to determine exactly how energy consumption can influence a cell’s sensitivity,” he said. “And in what situations it’s most valuable.”

Although the scientists decided to look specifically at how cells respond to their surroundings, they stressed that the general framework of their model could be used to shed light on sensing strategies across the biological world. Professor Stephens explained that whilst there’s a huge amount of effort going in to characterizing isolated, individual systems, there’s considerably less work looking for common principles. “If we can find these principles, then it could renew our understanding of how living systems function, from cell communication and the brain, to animal behavior and social interactions.”


Scientists create model to measure how cells sense their surroundings.

Samsung Electronics today announced it will be introducing the first DRAM memory modules in the industry designed with cutting-edge Extreme Ultraviolet Technology (EUV).

One of the world’s leading memory manufacturers, Samsung says that response to a million evaluation units of its first line of 10nm-class DDR4 DRAM modules has been positive and that it will soon begin processing orders for worldwide distribution.

EUV technology allows memory modules to be manufactured more accurately and more quickly. It speeds up the lithography process by reducing the number of repetitive steps and facilitates the production of complex chip patterns. It means greater performance accuracy and a shortened development time.