Nitrogen dioxide is one of the most harmful air pollutants in urban and industrial regions, contributing to respiratory disease, smog formation, and climate forcing. As governments tighten air quality standards worldwide, scientists are searching for affordable and efficient ways to remove this toxic gas before it reaches the atmosphere. A new theoretical study reveals that a simple and naturally abundant element, potassium, could dramatically enhance the ability of biochar to capture and chemically transform nitrogen dioxide.

There are over 36,500 pieces of space debris of larger than 10 cm in orbit according to statistical model orbit provided by European Space Agency’s Space Debris Office at European Space Operations Centre in Darmstadt, Germany. Any of those debris can pose a threat to operational satellites. Active debris removal (ADR) is conducted to solve the above problems for stabilizing the space debris environment. Unfortunately, the angular velocity of space debris exceeds the maximum angular velocity of 4 to 5 deg/s that can be directly captured by a robotic arm. Therefore, to stabilize the debris environment, the first task, i.e., de-tumbling tasks, is to reduce the initial angular velocity of the debris by applying an external torque. To ensure the safety of the de-tumbling tasks avoiding collision between the de-tumbling device and the uncooperative space target, many contactless methods have been studied. Among them, the contactless method based on electromagnetic eddy current method has received increasing attention due to the advantages of pollution-free and high safety performance.

Rapid industrialization advancements have grabbed worldwide attention to integrate a very large number of electronic components into a smaller space for performing multifunctional operations. To fulfill the growing computing demand state-of-the-art materials are required for substituting traditional silicon and metal oxide semiconductors frameworks. Two-dimensional (2D) materials have shown their tremendous potential surpassing the limitations of conventional materials for developing smart devices. Despite their ground-breaking progress over the last two decades, systematic studies providing in-depth insights into the exciting physics of 2D materials are still lacking. Therefore, in this review, we discuss the importance of 2D materials in bridging the gap between conventional and advanced technologies due to their distinct statistical and quantum physics. Moreover, the inherent properties of these materials could easily be tailored to meet the specific requirements of smart devices. Hence, we discuss the physics of various 2D materials enabling them to fabricate smart devices. We also shed light on promising opportunities in developing smart devices and identified the formidable challenges that need to be addressed.

Pore-scale mechanisms of drag reduction by micro-blowing have rarely been explored. A direct numerical simulation (DNS) study, published in the Chinese Journal of Aeronautics, is performed to uncover the fundamental physics of single-hole micro-blowing in a supersonic turbulent boundary layer. Results reveal a dual-regime drag-reduction mechanism: upstream reduction driven by adverse pressure gradients and downstream reduction dominated by the formation of a low-speed air film. A detailed vortex-interaction analysis further explains how micro-blowing sustains stable drag-reduction performance under turbulent vortex interference.

Brazil nuts are known as “selenium bombs” and are consumed as a natural dietary supplement. However, they do not only contain this essential nutrient, but also traces of potentially problematic metals like barium and radioactive radium. Researchers at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and the VKTA – Radiation Protection, Analytics & Disposal Rossendorf Inc. have now conducted the first systematic study on the amounts of these elements that could actually enter the body during the digestive process. The team has some good news for lovers of the nut-like seed (DOI: 10.3390/ijms26178312).

A research team at the Facility for Rare Isotope Beams (FRIB) is the first ever to observe a beta-delayed neutron emission from fluorine-25, a rare, unstable nuclide. Using the FRIB Decay Station Initiator (FDSi), the team found contradictions in prior experimental findings. The results led to a new line of inquiry into how particles in exotic, unstable isotopes remain bound under extreme conditions. Led by Robert Grzywacz, professor of physics at the University of Tennessee, Knoxville (UTK), the team included Jack Peltier, undergraduate student at UTK, Zhengyu Xu, postdoctoral researcher at UTK, Sean Liddick, professor of chemistry at FRIB and interim chairperson of MSU’s Department of Chemistry, and Rebeka Lubna, scientist at FRIB. The team published its results (“The evidence of N = 16 shell closure and β-delayed neutron emission from ²⁵F”) in Physics Letters B.

For the first time worldwide, we have achieved remote, real-time control of fusion plasma using a digital twin running on a supercomputer located about 1,000 km away (round-trip network path ~2,000 km).

In magnetic confinement fusion power, sustaining and precisely controlling plasma at temperatures exceeding 100 million ℃ over long durations is essential. Yet “predicting-while-controlling” has been challenging due to model accuracy limits, computation speed, and unresolved physics. Our team has developed a system that applies data assimilation, continuously updating the predictive model with real-time measurements to improve accuracy and using accelerated parallel prediction to determine optimal unrehearsed control actions.

A research team from Kyoto University, the National Institute for Fusion Science (NIFS), the National Institutes for Quantum Science and Technology (QST), and the Institute of Statistical Mathematics (ISM), has connected the Large Helical Device (LHD) in Toki, Gifu, Japan to the new “Plasma Simulator” supercomputer in Rokkasho, Aomori, jointly procured by NIFS and QST, via the high-quality, high-bandwidth academic network SINET6. By exclusively using more than 20,000 Central Processing Unit (CPU) cores and minimizing communication latency, the team has realized real-time predictive control of LHD from a remote supercomputer. This approach — linking a large experimental facility and a large computing system over a ~2,000 km network loop — can serve as a foundation for real-time control beyond fusion.

Researchers in the Department of Theoretical Physics at Tata Institute of Fundamental Research (TIFR), Mumbai, have discovered that instead of manipulating every component or modifying interactions in a many-body system, occasionally resetting just a small fraction can reshape how the entire system behaves macroscopically, including how it transitions from one phase to another. This counterintuitive approach, called subsystem resetting, offers a powerful, universal control strategy to tune collective behavior in complex systems ranging from magnets to neural networks.