Researchers have developed a new nanophotonic coating that can effectively manage body temperature without the need for external energy sources. The coating, which is transparent to visible light and infrared radiation, has been shown to provide a 15°C higher heating effect than commercial clothing.
Researchers developed a new minimal model to understand puffs and slugs using ecological methods, recapitulating turbulent behavior in pipe and Taylor-Couette flow. The model shows how fluid energy flow near laminar-turbulent transition can be represented as predator-prey dynamics.
Scientists aim to replicate human brain's capabilities in computing, inspired by quantum materials' traits. Researchers develop materials that can process information efficiently, consuming less energy than traditional computers.
A University of Illinois research effort has accelerated imaging techniques to visualize small molecules clearly, enabling better understanding of their chemical processes and synthesis. The team's discovery unlocks potential in everyday life applications, from plastics to pharmaceuticals.
Researchers have derived governing equations that describe the macroscopic mechanical behavior of elastomers filled with liquid inclusions directly from their microscopic behavior. This work enables a wide range of novel materials with unique mechanical and physical properties.
Researchers have long struggled to create high-power green LEDs due to the 'efficiency droop' phenomenon. The University of Illinois team has now discovered a way to avoid this issue by using cubic-phase crystal structures, which halves efficiency droop in InGaAlN light-emitting diodes.
A new cooling method offers substantial space efficiency, increasing power per unit volume by up to 740% compared to conventional approaches. The solution uses copper coatings that cover all exposed surfaces and eliminate the need for thermal interface materials or heat sinks.
The Center for Advanced Electronics through Machine Learning (CAEML) has received Phase II funding to apply machine learning to electronic circuit design, increasing efficiency and reliability. The center will focus on five technical challenges, including analog circuit design and security of design IP.
Researchers developed a new system using x-ray signals from pulsars to determine spacecraft location without prior information, allowing for autonomous navigation and reduced reliance on ground infrastructure. The algorithm combines observations from numerous pulsars to narrow down possible locations.
A cross-disciplinary team at the University of Illinois used automated synthesis to discover a new mechanism for high conductance in organic electronics applications. The technology rapidly scanned through a library of molecules and uncovered unexpectedly high conductance, dependent on concentration and surface adsorption.
Researchers at University of Illinois discover key connection between symmetry and Mott physics, providing new insight into high-temperature superconductivity. They found that breaking a hidden symmetry destroys Fermi liquids, implying that all models of Mott insulators must break this particle-hole symmetry.
Researchers have developed a novel approach to improve thermal energy storage by decoupling energy density and power density using pressure-enhanced close contact melting. This method has demonstrated efficacy in achieving high power and energy density, making it suitable for demanding applications like electric vehicles and data centers.
A study at the University of Illinois identified trace metals in rocket fuel propellant and developed a method to slow decomposition using chelating agents. The researchers found that adding these agents could form stable complexes, sequestering metal ions and preventing them from reacting with the propellant.
Researchers have developed a label-free detection technique that digitally counts intact SARS-CoV-2 virus particles in saliva or exhaled breath. The approach uses an aptamer attached to a biosensor to selectively recognize and capture viruses, providing lower cost and reduced time to diagnose infections.
A new epidemiological model, the stochastic social activity (SSA) model, combines real-world observations with mathematical equations to accurately describe COVID-19 wave and plateau dynamics. The model suggests that COVID-19 may become endemic in the global population, like the common cold or flu.
Researchers introduce a new theoretical model that explains how DNA supercoiling drives collective dynamics of RNA polymerases during transcription. The model considers the number of RNAPs and transcription factor binding, revealing two contrasting modes of RNAP group dynamics.
Researchers developed a novel approach to study molecular fluctuations in one-dimensional shock waves, characterizing frequencies two orders of magnitude lower than those in boundary layer flow. The model correctly predicts fluctuations in high-speed vehicle shocks traveling at Mach 2-10.
Researchers developed a new method to predict stress at atomic scale using machine learning, enabling accurate predictions of grain boundary stresses in actual metal specimens. This breakthrough advances the field of mechanics of materials and enables scientists to engineer stronger and more heat-resistant metals.
Scientists have designed a compact photonic circuit that uses sound waves to control light, outperforming previous alternatives and optimizing compatibility with atom-based sensors. The new device is simple in design, uses common optical materials, and can be adapted for different wavelengths of light.
Researchers at UIUC discovered that meteorites become porous when heated, affecting their strength and likelihood to break apart. This discovery will help NASA's Asteroid Threat Assessment Program predict potential damage from larger meteorite impacts.
Researchers at the University of Illinois propose a new method to detect moons around planets in double star systems. By analyzing transit timing variations, they can infer the presence of a moon. The study suggests that exomoons may play a key role in keeping planets habitable and could be critical for the evolution of life.
Researchers at the University of Illinois designed a tube-in-tube heat exchanger with significantly higher volumetric power density than current state-of-the-art devices. The optimized design enables more efficient energy transfer in industries requiring compact and high-performance heat exchangers.
Researchers at University of Illinois and Argonne National Laboratory will explore magnetic materials to reduce noise in quantum computing hardware. The team aims to design non-reciprocal circuitry by harnessing magnetic features, which could lead to a hybrid device for sensing and communication applications.
A researcher from the University of Illinois rebutted a paper claiming to have found mathematical proof that Holocaust victim numbers were fabricated. The original paper used flawed statistical analysis, ignoring dataset inconsistencies and biases.
Researchers developed a new model that addresses gaps in urban climate modeling, providing global multi-model projections of local urban climates. The study finds that cities in high-stakes regions like the Great Lakes and southern Europe are at higher risk for extreme heat events.
Researchers developed software to rapidly measure additively manufactured parts for increased accuracy. The tool analyzes scan data to identify accurate printers and settings, ensuring consistent production.
Researchers at University of Illinois developed software to improve 3D-printed part accuracy, reducing costs and waste for factory production. The software tracks printer and settings data to identify accurate parts.
A graduate student used a class assignment to apply linear algebra techniques to analyze flow field data, identifying dominant modes that capture the most important characteristics of the flow. This technique, called proper orthogonal decomposition, allows for efficient study of unsteady processes with minimal noise and uncertainty.
A team of researchers at the University of Illinois replicated hypersonic flow conditions in a NASA Langley Mach 6 wind tunnel using a numerical simulation. The study aimed to better understand the complexities of hypersonic flows, including pressure, temperature, and fluid velocity.
The Holonyak lab team has developed a simple, 15-minute sample-to-answer test for detecting COVID-19 antibodies at a cost of less than $2 per test. This low-cost test demonstrates great potential for widespread use in various settings, including clinics and physician offices.
Researchers at the University of Illinois used artificial materials with defects to study topological features and demonstrate a practical approach for exploring unconventional materials. They created a method for trapping fractional charges on disclination defects, which signals the presence of certain kinds of topology.
The Illinois RapidVent emergency ventilator was designed and tested by the University of Illinois team in under three weeks. The device is easy to produce, has few components, and can be powered from pressured air or oxygen.
Astronauts on long-duration missions face nutrient deficiencies from dehydrated food; Ying Diao's research uses wearable sensors to monitor plant stress and optimize growth conditions. The technology has potential applications beyond space exploration, including addressing climate change by helping plants adapt to changing environments.
The SyNRG team at the University of Illinois is exploring a new sub-area of mobile technology called 'earable computing' that will run on earphones. This platform aims to continuously sense human behavior, provide acoustic augmented reality, and offer seamless security, among other capabilities.
A recent study used real British Railway data and an artificial intelligence model to improve the ability to predict delays in railway networks. The Spatial-Temporal Graph Convolutional Network model outperformed other statistical models for forecasting delays up to 60 minutes in the future.
A team of researchers developed a paper-based electrochemical sensor that can detect COVID-19 genetic material in under 5 minutes. The sensor uses graphene-based probes to target specific regions of the virus's RNA, providing reliable and sensitive results.
Scientists at the University of Illinois have developed a new way to model hypersonic flow, allowing for a better understanding of thermal protection systems and heat shields. The research uses quantum physics and machine learning to simulate the interactions between molecules and atoms in extreme environments.
Researchers at the University of Illinois developed a method to create 3D images of fiber orientation in composite materials, enabling accurate predictions of thermal conductivity. This innovation has far-reaching implications for designing high-performance materials and heat shields.
Researchers at the University of Illinois developed a new method that combines machine learning and physics to simulate turbulent flow, allowing for more accurate predictions in aerospace engineering. This method has the potential to improve design efficiency and reduce costs in industries such as air travel and spacecraft development.
A team of researchers at the University of Illinois created a new take on deep reinforcement learning using the game Capture the Flag, helping robots evaluate their next move and adapt to unexpected situations. By breaking down tasks into sub-tasks, they improved adaptation and reduced complexity in updates.
A research tool has been developed to help people and lunar rovers estimate travel times with a high degree of reliability. The tool considers factors such as pedestrian traffic, road conditions, and bus breakdowns to provide a more accurate prediction of arrival times.
A University of Illinois student research team successfully designed a hybrid rocket engine that uses paraffin and Nytrox, overcoming previous failures with nitrous oxide. The team's perseverance was aided by collaborations with Purdue University and Zucrow Laboratories.
Researchers at the University of Illinois have studied the combustion velocity of a nontoxic salt-based propellant called FAM-110A. The findings indicate that the propellant has a Goldilocks zone where its burn rate is neither too high nor too low, making it suitable for rocket engine design.
Researchers at the University of Illinois compared two composite manufacturing methods, frontal polymerization and bulk polymerization. Frontal polymerization, a new out-of-autoclave method, offers several advantages, including reduced capital investment, faster curing times, and lower environmental impact.
Researchers have developed biphilic surfaces that significantly improve defrosting efficiency on heat exchangers. The unique surface design enables the removal of frost and slush from superhydrophobic regions before complete melting, reducing cleaning time and energy consumption.
Researchers exactly solve a representative model of the cuprate problem, explaining Cooper pairing and wave function for superconducting state in doped Mott insulators. The solution reveals that superconductivity exists and its properties differ drastically from standard BCS theory.
Scientists at the University of Illinois have detected fractional electronic charges in topological insulators, a breakthrough that could lead to more efficient and robust devices. The discovery was made using specially designed microwave resonators, which allowed the researchers to measure the signature of these fractional charges.
A new discovery enables researchers to directly visualize unlabeled nanoscale objects with deep sub-wavelength separations, advancing the field of optical microscopy. This breakthrough has significant implications for applications in semiconductor wafer inspection, nanoparticle sensing, material characterization, and biosensing.
A topological pump has been developed to transport mechanical energy even through defective wave-guides and disorder. This innovation could lead to more robust devices that continue to operate despite damage.
Holonyak Lab faculty members receive NSF RAPID grants to shorten COVID-19 testing time. A point-of-care device using nasal fluid samples aims to detect COVID-19 within 10 minutes, while a new method combines capturing intact viruses with DNA nanostructures for immediate counting.