Lifeboat Foundation

A new study by researchers at Lanzhou University and Hubei University proposes a quantum battery (QB) charging scheme based on a rectangular hollow metal waveguide. This approach allows them to overcome environment-induced decoherence and charging distance limitations. The findings are published in Physical Review Letters.

The demand and supply for batteries continue to grow with a focus on enhancing energy storage, longevity, and charging capabilities. On this front, scientists are now developing quantum batteries that leverage principles of quantum mechanics to store and supply energy.

The aim is to use fundamental principles of quantum mechanics such as entanglement and coherence to overcome the constraints of classical physics, thereby achieving stronger charging power, higher charging capacity, and larger work extraction compared to classical counterparts.

New phased-array transmitter design overcomes common problems of CMOS technology in the 300 GHz band, as reported by scientists from Tokyo Tech. Thanks to its remarkable area efficiency, low power consumption, and high data rate, the proposed transmitter could pave the way to many technological applications in the 300 GHz band, including body and cell monitoring, radar, 6G wireless communications, and terahertz sensors.

Today, most frequencies above the 250 GHz mark remain unallocated.

Accordingly, many researchers are developing 300 GHz transmitters/receivers to capitalize on the low atmospheric absorption at these frequencies, as well as the potential for extremely high data rates that comes with it.

Scientists at the National University of Singapore (NUS) have created a microporous covalent organic framework with dense donor–acceptor lattices and engineered linkages for the efficient and clean production of hydrogen peroxide (H₂O₂) through the photosynthesis process with water and air.

Traditional industrial production of H₂O₂ via the anthraquinone process using hydrogen and oxygen, is highly energy-intensive. This approach employs toxic solvents and expensive noble-metal catalysts, and generates substantial waste from side reactions.

Researchers at the University of Rochester’s Laboratory for Laser Energetics (LLE) have led experiments showcasing an efficient “spark plug” for direct-drive approaches to inertial confinement fusion (ICF). In a pair of studies featured in Nature Physics, the team shares their findings and details the potential for scaling up these methods, aiming for successful fusion in a future facility.

LLE is the largest university-based U.S. Department of Energy program and hosts the OMEGA laser system, which is the largest academic laser in the world but still almost one hundredth the energy of the National Ignition Facility (NIF) at the Lawrence Livermore National Laboratory in California. With OMEGA, Rochester scientists completed several successful attempts to fire 28 kilojoules of laser energy at small capsules filled with deuterium and tritium fuel, causing the capsules to implode and produce a plasma hot enough to initiate fusion reactions between the fuel nuclei. The experiments caused fusion reactions that produced more energy than the amount of energy in the central hot plasma.

The OMEGA experiments use direct laser illumination of the capsule and differ from the indirect drive approach used on the NIF. When using the indirect drive approach, the laser light is converted into X-rays that in turn drive the capsule implosion. The NIF used indirect drive to irradiate a capsule with X-rays using about 2,000 kilojoules of laser energy. This led to a 2022 breakthrough at NIF in achieving fusion ignition —a fusion reaction that creates a net gain of energy from the target.

A breakthrough in plasma control brings us a step closer to safe, limitless power.

Zinc-air batteries are an inexpensive, powerful battery alternative that can be used on the small scale to power electronics or on the large scale for electric vehicles or energy storage. These batteries work when oxygen from the air oxidizes zinc, but the difficulty in oxygen activation which degrades battery performance has prevented their wide commercial adoption.

Information presented in a paper published in Carbon Future (“Fullerene-metalloporphyrin co-crystal as efficient ORR electrocatalyst precursor for Zn-air batteries”) shows how the addition of fullerene-derived carbon materials as catalysts can improve performance, stability, and cost of zinc-air batteries.

This graphic illustrates a zinc-air battery can using a fullerene-metalloporphyrin co-crystal as an oxygen reduction reaction catalyst. (Image: Carbon Future, Tsinghua University Press)

New theoretical work establishes an analogy between systems that are dynamically frustrated, such as glasses, and thermodynamic systems whose members have conflicting goals, such as predator–prey ecosystems.

A system is geometrically frustrated when its members cannot find a configuration that simultaneously minimizes all their interaction energies, as is the case for a two-dimensional antiferromagnet on a triangular lattice. A nonreciprocal system is one whose members have conflicting, asymmetric goals, as exemplified by an ecosystem of predators and prey. New work by Ryo Hanai of Kyoto University, Japan, has identified a powerful mathematical analogy between those two types of dynamical systems [1]. Nonreciprocity alters collective behavior, yet its technological potential is largely untapped. The new link to geometrical frustration will open new prospects for applications.

To appreciate Hanai’s feat, consider how different geometric frustration and nonreciprocity appear at first. Frustration defies the approach that physics students are taught in their introductory classes, based on looking at the world through Hamiltonian dynamics. In this approach, energy is to be minimized and states of matter characterized by their degree of order. Some of the most notable accomplishments in statistical physics have entailed describing changes between states—that is, phase transitions. Glasses challenge that framework. These are systems whose interactions are so spatially frustrated that they cannot find an equilibrium spatial order. But they can find an order that’s “frozen” in time. Even at a nonzero temperature, everything is stuck—and not just in one state. Many different configurations coexist whose energies are nearly the same.

Measuring the precise quantity of rainfall in a particular area is straightforward when there is equipment specifically designed to accurately capture and relay precipitation data. However, quantifying and identifying the types of precipitation across all locations on Earth presents significant logistical challenges.

Importantly, this information could provide a wealth of data for characterizing and predicting Earth’s water, energy, and biogeochemical cycles. Researchers from China recently deployed a satellite, FengYun 3G (FY-3G), that is successfully collecting Earth precipitation data from space.

Chayka argues that cultivating our own personal taste is important, not because one form of culture is demonstrably better than another, but because that slow and deliberate process is part of how we develop our own identity and sense of self. Take that away, and you really do become the person the algorithm thinks you are.

As Chayka points out in Filterworld, algorithms “can feel like a force that only began to exist … in the era of social networks” when in fact they have “a history and legacy that has slowly formed over centuries, long before the Internet existed.” So how exactly did we arrive at this moment of algorithmic omnipresence? How did these recommendation machines come to dominate and shape nearly every aspect of our online and (increasingly) our offline lives? Even more important, how did we ourselves become the data that fuels them?

These are some of the questions Chris Wiggins and Matthew L. Jones set out to answer in How Data Happened: A History from the Age of Reason to the Age of Algorithms. Wiggins is a professor of applied mathematics and systems biology at Columbia University. He’s also the New York Times’ chief data scientist. Jones is now a professor of history at Princeton. Until recently, they both taught an undergrad course at Columbia, which served as the basis for the book.