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Category: physics – Page 89

Revolutionizing IoT Power: The Pyroelectrochemical Cell Solution

Can you wirelessly power wireless devices, thus improving and advancing the technology known an “Internet of Things” (IoT)? This is what a recent study published in Energy & Environmental Science hopes to address as a team of researchers from the University of Utah investigated how pyroelectrochemical cell (PECs) could be used to self-charge IoT devices through changes in immediate surrounding temperature, also known as ambient temperature. This study holds the potential to help a myriad of industries, including agriculture and machinery, by allowing IoT devices to charge without the need for electrical outlets.

“We’re talking very low levels of energy harvesting, but the ability to have sensors that can be distributed and not need to be recharged in the field is the main advantage,” said Dr. Roseanne Warren, who is an associate professor in the Mechanical Engineering Department at the University of Utah and a co-author on the study. “We explored the basic physics of it and found that it could generate a charge with an increase in temperature or a decrease in temperature.”

5,000 Tiny Robots Unveil Secrets Of Universe’s Dark Energy

In a revolutionary scientific endeavor, researchers are using 5,000 miniature robots perched atop a mountaintop telescope to peer an astonishing 11 billion years into the past. This cutting-edge instrument, known as the Dark Energy Spectroscopic Instrument (DESI), is capturing light from distant objects in space, allowing scientists from the Lawrence Berkeley National Laboratory to map our cosmos as it was in its infancy and trace its evolution to the present day.

Why is this so important? Understanding how our universe has evolved is intrinsically linked to predicting its ultimate fate and unraveling one of the biggest mysteries in physics: dark energy. This enigmatic force is causing our universe to expand at an ever-increasing rate, and DESI is providing us with unprecedented insights into its effects over the past 11 billion years.

DESI has created the largest and most precise 3D map of our cosmos ever constructed, enabling scientists to measure the expansion history of the young universe with a precision better than 1 percent for the first time. This unparalleled view of the universe’s evolution is shedding light on the interplay between matter, dark matter, and dark energy in shaping the cosmos.

Rigor with machine learning from field theory to the Poincaré conjecture

Machine learning techniques may appear ill-suited for application in fields that prioritize rigor and deep understanding; however, they have recently found unexpected uses in theoretical physics and pure mathematics. In this Perspective, Gukov, Halverson and Ruehle have discussed rigorous applications of machine learning to theoretical physics and pure mathematics.

Unlocking the Secrets of Eternal Data With Silicon Carbide

Team presents new path to long-term data storage based on atomic-scale defects.

With the development of the internet, social media, and cloud computing, the amount of data created worldwide on a daily basis is skyrocketing. This calls for new technologies that could provide higher storage densities combined with secure long-term data archiving far beyond the capabilities of traditional data storage devices. An international research team led by the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) now proposes a new concept of long-term data storage based on atomic-scale defects in silicon carbide, a semiconducting material. These defects are created by a focused ion beam, providing high spatial resolution, fast writing speed, and low energy for storing a single bit, as the team reports in the journal Advanced Functional Materials.

Latest estimates assume around 330 million terabytes of new data created each day, with 90 percent of the world’s data generated in the last two years alone. If the sheer numbers already suggest the need of advanced data storage technologies, it is by no means the only problem associated to this development. “The limited storage time of current storage media requires data migration within several years to avoid any data loss. Besides of being trapped in perpetual data migration procedures, this substantially increases the energy consumption, because a significant amount of energy is consumed in the process,” says Dr. Georgy Astakhov from the Institute of Ion Beam Physics and Materials Research at HZDR.

Exploring the Black Hole Population with an Open Mind

A new model describes the population of black hole binaries without assumptions on the shape of their distribution—a capability that could boost the discovery potential of gravitational-wave observations.

Since the first groundbreaking observation of gravitational waves from a black hole merger [1], a worldwide network of observatories–LIGO, Virgo, and KAGRA—has discovered nearly a hundred mergers involving black holes and neutron stars (Fig. 1). The nature of this population of compact objects has implications for nearly every aspect of astrophysics and cosmology. However, understanding how gravitational-wave sources fit into our astrophysical theories has proved challenging. Many of the discoveries have confirmed our expectations, but some—such as those of asymmetric black hole binaries or of unexpectedly massive black holes—defy them.

Revolutionizing Photonics: Researchers Achieve Unprecedented Upconversion Efficiency

Scientists at the National University of Singapore (NUS) have introduced a groundbreaking concept known as “supercritical coupling,” which significantly boosts the efficiency of photon upconversion. This innovation not only overturns existing paradigms but also opens a new direction in the control of light emission.

Photon upconversion, the process of converting low-energy photons into higher-energy ones, is a crucial technique with broad applications, ranging from super-resolution imaging to advanced photonic devices. Despite considerable progress, the quest for efficient photon upconversion has faced challenges due to inherent limitations in the irradiance of lanthanide-doped nanoparticles and the critical coupling conditions of optical resonances.

The concept of “supercritical coupling” plays a pivotal role in addressing these challenges. This fundamentally new approach, proposed by a research team led by Professor LIU Xiaogang from the NUS Department of Chemistry and his collaborator, Dr Gianluigi ZITO from the National Research Council of Italy, leverages on the physics of “bound states in the continuum” (BICs). BICs are phenomena that enable light to be trapped in open structures with theoretically infinite lifetimes, surpassing the limits of critical coupling. These phenomena are different from the usual behavior of light.

Astronomers Confirm a New ‘Trojan’ Asteroid that Shares an Orbit with Mars

Using observations made with the Gran Telescopio Canarias (GTC) a study led from the Instituto de Astrofísica de Canarias (IAC) and the Universidad Complutense de Madrid (UCM) has confirmed that the asteroid 2023 FW14, discovered last year, is accompanying the red planet in its journey round the sun, ahead of Mars and in the same orbit.

With this new member, the group of Trojans that accompany Mars has increased in number to 17. But it shows differences in its orbit and chemical composition which may indicate that it is a captured asteroid, of a primitive type. The results are published in Astronomy & Astrophysics.

A team from the Instituto de Astrofísica de Canarias (IAC) and the Universidad Complutense de Madrid (UCM) has observed and described for the first time the object 2023 FW14, a Trojan asteroid that shares its orbit with Mars. After Jupiter, the red planet has the largest number of known Trojans, totaling 17 with this new identification.

Large Hadron Collider reaches its first stable beams in 2024

On Friday 5 April, at 6.25 p.m., the LHC Engineer-in-Charge at the CERN Control Centre (CCC) announced that stable beams were back in the Large Hadron Collider, marking the official start of the 2024 physics data-taking season. The third year of LHC Run 3 promises six months of 13.6 TeV proton collisions at an even higher luminosity than before, meaning more collisions for the experiments to take data from. This will be followed by a period of lead ion collisions in October.

Before the LHC could restart, each accelerator in the CERN complex had to be prepared for another year of physics data taking. Beginning with Linac4, which welcomed its first beam two months ago, each accelerator has gone through a phase of beam commissioning in which it is gradually set up and optimised to be able to control all aspects of the beam, from its energy and intensity to its size and stability. During this phase researchers also test the accelerator’s performance and address any issues before it is used for physics. Following Linac4, which contains the source of protons for the beam, each accelerator was commissioned in turn: the Proton Synchrotron Booster, the Proton Synchrotron, the Super Proton Synchrotron, and finally the LHC from 8 March until 5 April. The whole complex is now ready for data taking.

Back to the CCC. While stable beams are the goal, the CCC engineers must first take several steps to achieve them. First, they must inject the beams into the LHC from the previous accelerators in the chain. Then begins the ramp-up process, which involves increasing the beam energy up to the nominal energy of 6.8 TeV. The next step – shown as “flat top” on LHC Page 1 – is where the energy in the beams is consistent, but they’re not quite ready yet. In order to achieve stable beams, the circulating beams must then be “squeezed” and adjusted using the LHC magnets. This involves making the beams narrower and more centred on their paths, and therefore more likely to produce a high number of collisions in the detectors. Only after the squeezing and adjustment has been completed can stable beams be declared and the experiments around the LHC begin their data taking.

The Melting Code Cracked: Over 100-Year-Old Physics Problem Solved

A professor has developed a groundbreaking theory that provides a universal method for predicting melting points, addressing a century-old challenge in physics and offering significant benefits to materials science.

A longstanding problem in physics has finally been cracked by Professor Kostya Trachenko of Queen Mary University of London’s School of Physical and Chemical Sciences. His research, published in the Physical Review E, unveils a general theory for predicting melting points, a fundamental property whose understanding has baffled scientists for over a century.

Understanding States of Matter.