Matter and energy from Science Daily Feed

Researchers investigated the internal properties of low-cost materials used in perovskite solar cells, which are attracting attention for their high efficiency, using electron spin resonance (ESR) to analyze these materials at a microscopic level. The results clarify the underlying causes for reduced device performance, despite high local charge mobility, offering critical insights for designing improved solar cells.

Materials scientists can now use insight from a very common mineral and well-established earthquake and avalanche statistics to quantify how hostile environmental interactions may impact the degradation and failure of materials used for advanced solar panels, geological carbon sequestration and infrastructure such as buildings, roads and bridges.

Exhaled breath contains chemical clues to what's going on inside the body, including diseases like lung cancer. And devising ways to sense these compounds could help doctors provide early diagnoses -- and improve patients' prospects. Researchers report developing ultrasensitive, nanoscale sensors that in small-scale tests distinguished a key change in the chemistry of the breath of people with lung cancer.

Supersolids are a new form of quantum matter that has only recently been demonstrated. The state of matter can be produced artificially in ultracold, dipolar quantum gases. A team has now demonstrated a missing hallmark of superfluidity, namely the existence of quantized vortices as system's response to rotation. They have observed tiny quantum vortices in the supersolid, which also behave differently than previously assumed.

Scientists have demonstrated a new way to use high-energy particle smashups at the Relativistic Heavy Ion Collider (RHIC) to reveal subtle details about the shapes of atomic nuclei. The method is complementary to lower energy techniques for determining nuclear structure. It will add depth to scientists' understanding of the nuclei that make up the bulk of visible matter.

Researchers have developed AI-driven mobile robots that can carry out chemical synthesis research with extraordinary efficiency. Researchers show how mobile robots that use AI logic to make decisions were able to perform exploratory chemistry research tasks to the same level as humans, but much faster.

Thin, flexible device could help people with visual impairments 'feel' surroundings. Device comprises a hexagonal array of 19 actuators encapsulated in soft silicone. Device only uses energy when actuators change position, operating for longer periods of time on a single battery charge.

Researchers have developed a new method for disrupting the crystal structure of a semiconductor that requires as little as one billion times less power density. This advancement could unlock wider applications for phase-change memory (PCM) -- a promising memory technology that could transform data storage in devices from cell phones to computers.

Large language models can achieve incredible performance on some tasks without having internalized a coherent model of the world or the rules that govern it, researchers find. This means these models are likely to fail unexpectedly if they are deployed in situations where the environment or task slightly changes.

Physicists have investigated to which extent a piece of music can evoke expectations about its progression. They were able to determine differences in how far compositions of different composers can be anticipated. In total, the scientists quantitatively analyzed more than 550 pieces from classical and jazz music.

Researchers have developed an AI-powered system that mimics the human sense of smell to detect and track toxic gases in real time. Using advanced artificial neural networks combined with a network of sensors, the system quickly identifies the source of harmful gases like nitrogen dioxide that poses severe respiratory health risks.

New research has shown that bio-based fibers caused higher mortality, and reduced growth and reproductivity, among earthworms -- a species critical to the health of soils globally -- than conventional plastics. It has led scientists to suggest that materials being advocated as alternatives to plastic should be tested thoroughly before they are used extensively in a range of products.

Explaining a theoretical science concept to high school students requires a new way of thinking altogether, which is precisely what researchers did when they orchestrated a dance with high school students at Orange Glen High School in Escondido as a way to explain topological insulators.

Hydrogen, a promising fuel, has extensive applications in many sectors. However, its safe and widespread use necessitates reliable sensing methods. While tunable diode laser absorption spectroscopy (TDLAS) has proved to be an effective gas sensing method, detecting hydrogen using TDLAS is difficult due to its weak light absorption property in the infrared region. Addressing this issue, researchers developed an innovative calibration-free technique that significantly enhances the accuracy and detection limits for sensing hydrogen using TDLAS.

Researchers have developed a novel type of nanomechanical resonator that combines two important features: high mechanical quality and piezoelectricity. This development could open doors to new possibilities in quantum sensing technologies.

To expand the potential use of diamond in semiconductor and quantum technologies, researchers are developing improved processes for growing the material at lower temperatures that won't damage the silicon in computer chips. These advances include insights into creating protective hydrogen layers on quantum diamonds without damaging crucial properties like nitrogen-vacancy centers.

Materials called cubic rare earth hydrides could be superconductors in everyday conditions.

Researchers used an electrophysiological computer model of the heart's electrical circuits to examine the effect of the applied voltage field in multiple fibrillation-defibrillation scenarios. They discovered far less energy is needed than is currently used in state-of-the-art defibrillation techniques. The authors applied an adjoint optimization method and discovered adjusting the duration and the smooth variation in time of the voltage supplied by defibrillation devices is a more efficient mechanism that reduces the energy needed to stop fibrillation by three orders of magnitude.

Researchers employed analysis tools and machine learning algorithms to identify two genes linked to rheumatoid arthritis and osteoporosis that could serve as diagnostic tools and potential targets for treatments. Drawing from a large database of genetic information, they gathered dozens of sequenced genomes from people with rheumatoid arthritis and osteoporosis to look for any similarities, using recently developed computational methods to narrow down their search. They identified genes ATXN2L and MMP14 as significantly associated with the progression of both rheumatoid arthritis and osteoporosis.

Sodium-containing transition-metal layered oxides are promising electrode materials for sodium-ion batteries, a potential alternative to lithium-ion batteries. However, the vast number of possible elemental compositions for their electrodes makes identifying optimal compositions challenging. In a recent study, researchers leveraged extensive experimental data and machine learning to predict the optimal composition of sodium-ion batteries. Their approach could help reduce time and resources needed during exploratory research, speeding up the transition to renewable energy.