Researchers have developed nanostructures modeled on moth eyes that exhibit anti-icing properties, with the addition of a paraffin layer improving their performance. The nanostructure showed great improvement in freezing time and water repellency, making it suitable for applications such as aircraft wings and energy transmission systems.
Researchers develop mathematical model to understand droplet dispersion, finding no linear relation between droplet size and displacement. The study suggests creating an aerosol extractor device to trap small droplets, improving safety during medical procedures.
Researchers designed a silver plating to shield microwave waves and create uniform heating in liquids. This resolves the issue of water heated in a microwave not being the same as stovetop-heated liquid, promoting more consistent temperatures.
Black phosphorus has potential for emerging devices, including medical imaging and environment monitoring, thanks to its versatility and manipulation as a 2D material. The material's ability to tune electron energy levels makes it suitable for electro-optic modulation, which is essential for faster computing and data communication.
Researchers discovered a new chemical approach using lithium hydroxide as a catalyst, enabling efficient production of biodiesel from cooking oil waste. The method achieved an average yield of 90% and showed promising results for future studies on biofuel production.
A new approach uses photons to perform computations required by neural networks, improving speed and efficiency. Photonic tensor cores can process data in parallel, reducing power consumption and increasing throughput.
Researchers used fixed effects regression techniques to analyze photovoltaic performance degradation over time. They found that newer projects have degraded at a slower rate than older ones, suggesting photovoltaics technology has improved over time.
A new study has developed a thermoelectric device that harnesses solar energy to generate power continuously day and night, regardless of weather conditions. The device uses a wavelength-selective emitter to create a temperature difference, resulting in constant voltage generation.
Researchers developed a mathematical model to understand the early phases of COVID-19-like pandemics using respiratory droplet motion and evaporation characteristics. The model estimates how long droplets can survive, how far they can travel, and which size of droplet survives for how long.
Researchers tested various face masks to determine their ability to contain respiratory droplets. Loosely folded and bandanna-style coverings reduced droplet distance by half, but well-fitted homemade masks with multiple layers were the most effective.
Researchers have created biocompatible lenses using spider silk, enabling large-area imaging of biological areas with high resolution. The lenses use dragline silk's unique properties to generate a photonic nanojet, suitable for biomedical applications.
A recent study on spall fracture in metals revealed that certain materials can withstand secondary shocks with minimal damage, even without obvious signs of voids and cracks. The researchers found that a specific shock stress could recompact damaged copper targets and create new bonds between the broken surfaces.
A study compares the effective magnetic moments of different multicore nanoparticle systems, showing they are magnetic-field dependent. The findings are important for optimizing magnetic nanoparticles for various applications, including magnetic hyperthermia and targeted drug delivery.
Researchers used computer simulations to show that flushing toilets can create a cloud of virus-containing aerosol droplets that rise high above the seat and last for over a minute. Closing the lid before flushing or using an automatic lid system could help reduce aerosol spread.
Research models show that repeated coughing can degrade face mask efficiency by allowing more droplets through. Even when worn, masks can still let out droplets up to 1 meter away during mild coughing.
University of California, Berkeley researchers Lydia Sohn and Molly Kozminsky introduce cellular mechanophenotyping to study cancer cell behavior. They aim to measure the mechanical properties of cells to reveal their ability to develop and spread.
A paper-based device has been developed to analyze human sweat for biomolecules without requiring external power. The device uses capillary action and evaporation to extract and manage sweat, enabling long-term analysis of up to 10 days. This technology holds promise for affordable medical testing in under-resourced populations.
Researchers found that ambient temperature, surface type, and relative humidity play critical roles in virus survival. Droplet drying times were longer in cities with greater humidity, potentially contributing to slower pandemic growth rates.
A new biohybrid model, developed by Ellen Roche and colleagues, accurately represents the interplay between the abdomen, diaphragm, lungs, and pleural space. The model enables precise tuning of pressure in each part of the system, allowing for the testing of various disease conditions and ventilator options.
A new surfactant-free method produces up to 100 microcapsules per second, ideal for pharmaceutical or skin care applications. The technique involves creating tiny channels and injecting immiscible liquids, which are then polymerized and solidified to trap the liquid core.
A study by Jacek Kapica identifies three indicators to help find the perfect size for renewable wind and solar energy storage facilities while optimizing energy harvesting. Increasing power reliability influences the nominal power of energy generation units at a given size of storage.
Researchers developed two experimental devices to study the harmful effects of hyperperistalsis on synthetic uterine tissue. The study found that peristaltic shear stresses caused alterations to endometrial epithelial cells and myometrial smooth muscle cells.
Researchers explore high-intensity lasers to create plasmas for studying quantum electrodynamics, a lesser-studied corner of particle physics. The findings could lead to advances in fundamental physics and scanning technology.
Researchers have developed an algorithm that combines gradient methods with fast Fourier transforms to quantify the organization of cardiac myofibrils in heart cells, providing a better understanding of heart cell defects. The technique has potential applications in advanced drug screens and cell-based therapies.
Researchers discovered that even a gentle breeze can propel saliva droplets up to 18 feet in just 5 seconds. This finding has significant implications for health and safety distance guidelines and the transmission of airborne diseases.
The new method transforms electrospun nanofibers into complex 3D shapes with controlled pore sizes, allowing cells to seed and penetrate, and exhibits superelasticity and shape recovery. The technique has significant potential for applications in tissue engineering, regenerative medicine, and tissue modeling.
Researchers developed a smart quantum technology that reduces light source identification measurements from millions to under hundred using AI. This enables quicker and less damaging light exposure in applications like microscopy and cryptography.
Researchers developed a quantum photonics prototype using hyperbolic metamaterials to achieve high-efficiency single-photon sources with broad spectral bandwidth. The tilted geometry suppresses light reflections, enabling faster photon extraction and paving the way for on-chip quantum networks.
A miniaturized Bluetooth device can detect glucose and fructose molecules in fermentation processes over days, enabling the study of metabolites and disease. The device has an accuracy above 98% and can transmit data wirelessly for up to 24 hours.
Researchers have demonstrated a prototype device that uses microwave air plasmas for jet propulsion, offering a potentially viable alternative to conventional fossil fuel jet engines. The engine can generate thrusting pressures comparable to those of commercial airplane jet engines using only air and electricity.
The study highlights the potential of wide bandgap semiconductor devices built with silicon carbide to achieve faster switching speeds, lower losses, and higher blocking voltages. This technology has the potential to significantly reduce carbon dioxide emissions and promote a more sustainable green economy.
A device that simulates borehole ballooning has been developed to help prevent serious drilling accidents and irreversible damage. The device can accurately simulate conditions like fracture opening pressures, rock types, and mud circulation pressures, and its experimental results have validated theoretical research on the topic.
Researchers successfully combined rat spinal cords with tissue-engineered muscles, creating a biohybrid system that produces electrical activity causing contraction. This innovation could lead to breakthroughs in understanding diseases like Lou Gehrig's and developing new surgical training tools.
Red blood cells deform and recover when passing through tiny channels, revealing a possible new method to diagnose diseases such as malaria. The researchers found that the shape recovery behavior depends on flow speed, viscosity, and elastic properties of the cell's outer membrane.
Researchers have developed a method to use ultrasound to insert a sugar molecule called trehalose into red blood cells, allowing them to last for years. This technique could increase the shelf life of blood donations from weeks to years.
Researchers have developed organic memristors that could enable ultralow energy computing and brain-inspired electronics. The new generation of organic memristors is made from metal azo complex devices and has shown stability and reproducibility.
A new method called SCOPE estimates three properties of clouds that determine the amount of sunlight reaching the Earth's surface. The accuracy of the estimated cloud optical properties was evaluated using one year of data from 2018 for measurements taken at seven ground-based locations.
Researchers discovered how to make bottles empty faster by studying bubble dynamics, which reveals key parameters such as liquid film thickness and rise velocity. The study also identifies two distinct bottle-emptying modes and a critical angle of inclination that maximizes the emptying time.
A new method detects trace proteins secreted by embryos using microfluidic droplets and multicolor fluorescence, predicting developmental potential with high accuracy. The technique improves upon conventional morphological scoring, reducing variability among embryologists.
Researchers created tiny biohybrid swimmers that can personalize drug delivery to treat tumors. The biohybrid swimmers, powered by genetically engineered E. coli MG1655 and red blood cell nanoerythrosomes, demonstrated a reduced immune response due to their nanoscale size.
Researchers have developed an atomic magnetometer that can map the electrical conductivity of the human heart with high resolution. This technology has the potential to diagnose diseases such as atrial fibrillation without invasive procedures.
Using technology that allows high-frequency signals to travel on regular phone lines, researchers successfully transmitted data at rates of terabits per second through a pair of copper wires. The discovery could enable faster data transfer in applications such as chip-to-chip communication and data center networks.
Researchers developed a recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems, exploiting the advantages of low-precision, noisy, and variable neurons. This work aims to enable compact and efficient real-time processing for applications such as bio-signal processing and brain-machine interfaces.
Researchers found that creating hydrogels at room temperature or below results in more robust materials. The findings could improve the 3D printing of biomaterials and enhance their performance in biomedical applications.
Researchers use machine learning to translate protein structures into musical scores, generating new proteins with unique properties. The method has the potential to design entirely new biomaterials and improve existing enzymes.
Researchers developed SPINS, an inverse design codebase that automates the search for optimal optical and photonic structures. This enables faster design optimization and opens new possibilities for integrated photonics, including photonic neural networks and metasurface optics.
Researchers developed a platform to coculture neurons and muscle cells, capturing the emergence of neuromuscular junctions and synchronized bursting patterns. The study provides new insights into biohybrid machines and their potential applications in fields like intelligent drug delivery and environment sensing.
Experiments on a simple model for granular cliffs reveal the mechanism by which these cliffs collapse and create large, tsunami-like waves known as impulse waves. The shape of the granular particles and pile height-to-width ratio were found to be critical in determining the types of waves produced.
Recent advances in bioengineering and computational modeling have enabled researchers to study complex biological processes with molecular-level detail. Multidisciplinary work on proteins and modeling highlights challenges as the field develops high-resolution, high-throughput organs on a chip.
Researchers developed a simple self-charging battery using ferroelectric glass electrolyte within an electrochemical cell. The technology enables batteries to self-charge without losing energy, increasing autonomy and output power.