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Category: chemistry – Page 9
New strategy for designing ultra-fast charging batteries could prevent hazardous lithium plating
A redesigned lithium-ion anode retained 86% of its initial capacity at a demanding 10C charge rate and stayed stable for more than 250 cycles, while aiming to reduce hazardous lithium plating during fast charging.
The rapid progress in electric vehicles and high-power electronics has increased the demand for ultra-fast-charging lithium-ion (Li-ion) batteries. However, during fast charging, current Li-ion rechargeable batteries suffer from severe degradation in power and potential catastrophic failure, increasing safety risks. This is mainly due to electrochemical instability at the anode–electrolyte interface, causing hazardous Li metal plating on their surface and poor thermal stability.
Recently, high-voltage anode materials have emerged as promising alternatives because they prevent excessive lithium plating and the formation of unstable solid-electrolyte interface layers. Despite these advantages, current state-of-the-art materials are limited by poor ionic conductivity and thermal stability, reducing power output and long-term reliability.
To address these issues, a research team led by associate professor Dongwook Han from Seoul National University of Science and Technology in South Korea developed a novel strategy.
Smart sensor identifies present molecules by remembering the past
Most sensors are designed to do only one thing: detect what passes through them. But what if a sensor could do more? To create a new generation of technology, researchers have looked to living systems for inspiration. If a sensor could detect molecules, could it also remember previous interactions and selectively respond to them?
Researchers have developed a device that does exactly that on a tiny scale, laying the groundwork for a new generation of smart molecular sensors.
In an article recently published in ACS Nano, researchers from SANKEN at the University of Osaka and collaborating institutions created an autonomous solid-state nanopore that can sense molecules, generate electrical signals and retain memories of recent events without external control. Unlike conventional nanopores, which act as passive channels, the new device continuously changes its own structure through chemical reactions, creating a dynamic sensing environment that responds to molecules passing through it.
PRX Intelligence publishes its first papers
The American Physical Society’s newest highly selective, open access journal, PRX Intelligence, has published its inaugural papers. The studies demonstrate how artificial intelligence and machine learning methods can be used to advance scientific knowledge and capabilities across the physical sciences — from neural networks that streamline molecular simulations to data-driven learning schemes that accelerate quantum embedding workflows.
As AI and machine learning transform the physical sciences, PRX Intelligence is designed to provide a multidisciplinary platform for research pioneering the development and application of these approaches. Building on the foundation of Physical Review X, the journal publishes open access articles expected to have substantial and lasting impact. It welcomes studies that apply AI and machine learning across theory, simulation, and experimentation in physics and related fields — including computer science, mathematics, engineering, materials science, chemistry, biology, and earth and environmental sciences. Relevant topics include discovery and synthesis, physics-informed learning, data-driven approaches, machine learning pipelines for observational platforms, and more. Articles have flexible formats and lengths and may include research papers, perspectives, roadmaps, tutorials, and more.
PRX Intelligence will waive article publication charges for manuscripts submitted or transferred before Jan. 1, 2027. And like all other APS journals, it will always waive these charges for researchers in low-and middle-income countries. Sign up for email updates to keep up with the latest news from the journal.
Oil droplets remodel themselves, swallow their surroundings like living cells
NYU researchers have made microscopic oil droplets in water do something usually reserved for living cells: change shape in complex, controllable ways and even engulf their surroundings.
The findings, published in Nature Communications, show that some of life’s signature behaviors—like morphing into complex shapes and capturing material—can emerge from physics and chemistry alone, without genes, proteins or active cellular machinery.
One of life’s defining features is morphogenesis—the ability of cells and tissues to reshape themselves, form compartments and engulf material from their surroundings. These remarkable transformations normally rely on a sophisticated molecular toolkit.
Predicted Noncrystalline Structures Have Bonus Properties
Simulations reveal disordered structures that are also surprisingly resistant to impacts and cracks.
Metamaterials derive their unique properties from their tailored, macroscale structures, not from their chemical compositions or atomic-scale structures. Although designers often rely on regular, repeating architectures, many of nature’s toughest materials—from bone to spider silk—owe their resilience to structural disorder. Now, inspired by those biological examples, researchers have used machine learning to find new designs for disordered metamaterials [1]. These structures not only have the properties for which they were optimized, but they also resist deformation and fracture. The researchers have built a prototype car bumper based on their designs, and they propose uses in ballistic shields, helmets, and other protective equipment.
The design of functional metamaterials has conventionally focused on ordered structures, where the repeating nature of the patterns allows predictions of macroscopic behavior. Amorphous structures lack that periodicity, leaving an enormous number of possible disordered arrangements that are difficult to explore systematically. Yet disorder can also be an asset, enabling mechanical behaviors that are otherwise difficult or impossible to achieve. The main challenge has been to search the large number of potential structures efficiently enough to identify the rare ones that combine useful functionality with physical stability.
Magnetic nanoparticles remove forever chemicals from water
PFAS, otherwise known as forever chemicals, have become commonplace in numerous everyday and industrial products. At the same time, they are some of the most problematic pollutants of our times: They are extremely durable, accumulate in the environment and in organisms and can only be removed from water with difficulty.
A team of researchers from FAU, Uniklinikum Erlangen and the Bavarian Health and Food Safety Authority led by Prof. Dr. Marcus Halik from the Chair of Polymer Materials at FAU have developed a procedure to efficiently remove a wide range of different PFAS from water using functionalized magnetic nanoparticles. They have published their findings in the journal Materials Today.
Johannes Voß and Linda Rockmann from Halik’s team developed functionalized iron oxide nanoparticles with unique magnetic properties, whose surface was specifically adapted to bind to various PFAS. Once they are attached to the iron oxide, i.e. rust particles, the PFAS can simply be removed from the water using a magnet.
Ion pumping platform simultaneously cleans salty wastewater and recovers valuable metals
Industrial wastewater from electronics manufacturing, metal processing and other sectors often contains two difficult pollutants at once: high levels of salt and toxic heavy metals. Current treatment methods typically address those problems separately, creating costly, complex systems that can produce hazardous brines or metal-laden sludge. Now, a group of researchers at Rice University and Vanderbilt University has created an electrochemical platform that could do both jobs at once.
A team led by Shihong Lin, associate professor of civil and environmental engineering at Rice, has shown that electrochemical ion pumping (EIP) can be programmed to desalinate wastewater while selectively recovering dissolved metals such as copper.
The approach, published in Nature Water, could offer a new path toward water reuse and resource recovery from industrial brines. Longqian Xu, a postdoctoral researcher at Rice, is the study’s first author.