University of Virginia engineers develop a Minecraft-like, voxelated approach to create complicated structures comparable to human tissues and organs. They use droplets as the basic building blocks, assembling them into 3D constructs with precise location, composition, and properties.
Kyusang Lee's new sensor system uses artificial intelligence to process different types of signals, mimicking human biology, and can detect viruses. The system meets challenges of data bottlenecks, energy consumption, and data protection, making it a breakthrough in the Internet of Things.
Researchers at the University of Virginia have developed a new material system that allows for the co-location of computation and memory on a single chip. This breakthrough could help flatten the energy demand curve for computing and reduce the strain on power grids.
Researchers at UVA will study organelles in cancer cells to identify new pathways for understanding and fighting cancer. By focusing on the interactions between genes, proteins, and organelles within cells, they hope to develop fresh clues about therapies.
A University of Virginia researcher has received a $1.8 million NIH grant to develop polymers that can deliver peptides as medicine, overcoming limitations such as short duration and toxicity. The project aims to create new therapeutic formulations using polymer biomaterials, which have endless design possibilities.
Researchers at UVA School of Engineering and Applied Science have discovered a way to make a versatile thermal conductor that can be controlled on demand. This advancement has promise for managing heating and cooling in electronic devices, green buildings and space exploration, with potential applications including the Mars Rover.
Homa Alemzadeh's research aims to develop safety monitoring tools for robotic surgery, enabling better training for surgeons and increasing the availability of less-invasive procedures. Her work has the potential to improve patient outcomes in underserved rural communities.
Researchers at University of Virginia are developing long-lived sensors for the Internet of Things (IoT) to reduce maintenance costs and upgrade challenges. The goal is to create an ecosystem that enables sensors to adapt to changing environments, reducing electronic waste.
A UVA researcher has earned a prestigious NSF CAREER award to develop new models and data compression algorithms that will make the storage and analysis of large data sequences more efficient and accurate. The goal is to tackle the challenges of data storage capacity, particularly for genomic data.
Cong Shen earns CAREER award to develop 6G wireless communications systems supporting machine learning and AI technologies. His research aims to boost the performance of machine-learning models driving the Internet of Things while protecting data privacy.
Researcher Jundong Li aims to improve machine recommendations and predictions based on cause and effect. He develops a suite of algorithms and mathematical models informed by human experience and intuition to find cause-and-effect relationships in big data.
A UVA-led research team is working on a photonics-based radar and GPS system that can operate at frequencies up to 110 gigahertz, three times higher than current 5G systems. The system has the potential to provide ultra-stable signals for applications like communications, positioning, and ranging.
Researchers aim to improve stability and efficiency of catalytic materials using quantum mechanics-based calculations and computational simulations. The goal is to create more effective catalysts that reduce pollution and energy consumption.
University of Virginia professor Rachel Letteri's lab designs polymers for healthcare applications, using peptide fragments to create hydrogels with tunable stiffness and lifespan. The team aims to develop materials that can support cell growth and guide tissue regeneration, with potential applications in regenerative medicine.
Researchers have discovered that when materials are thin and repeating, their atomic vibrations become coherent and present everywhere. This finding opens up new avenues for designing energy-efficient devices and novel material solutions to recycle waste heat.
Researchers employed microscopy techniques to study the atomic structure and vibrations of perovskite oxides in superlattices. The discovery enables the rational design of materials with unique photonic and phononic properties.
Researchers at the University of Tokyo and University of Virginia developed a new diagnostic technology that can identify patients at risk of microvascular thrombosis. The technology analyzes blood samples to detect excessive platelet aggregation, an early indicator of blood clotting, in nearly 90% of COVID-19 patients.
Researchers develop new technique DASP, which uses spherical viscoelastic bio-ink particles to create porous 3D structures. The technology has the potential for human islet transplantation to treat type 1 diabetes.
Researchers at the University of Virginia and Penn State are developing a new hardware platform called FerroCoDE that can generate solutions for complex problems more efficiently. The platform uses analog computing to exploit the spatial-temporal properties of oscillators and their synchrony.
Researchers found that famotidine improves COVID-19 survival odds and reduces disease severity when used with aspirin. The study, involving over 22,000 patients, suggests famotidine may have a beneficial 'off-target effect' in treating the disease.
A UVA research group has developed a scalable quantum computing platform using photonic devices, reducing the number of devices needed to achieve quantum speed. The team created a quantum source in an optical microresonator on a chip, generating 40 qumodes and verifying the generation of multiplexed quantum modes.
Researchers created a duplex bond coat approach that extends the life of engine components, protecting them from chemical reactions and water vapor. The new coating system uses ytterbium disilicate and hafnium oxide to create a stable and durable barrier against high temperatures.
University of Virginia researchers design a simple way to implement a tunable stiffness strategy in robots, enabling efficient swimming at varying speeds. The approach, inspired by the natural adaptability of fish, uses a programmable artificial tendon to adjust tail stiffness in real-time.
Researchers at UVA's Charles L. Brown Department of Electrical and Computer Engineering are working on a project called PATRONUS, which aims to integrate photonic integrated circuits into a single chip. This could lead to faster data centers and next-generation wireless communication systems.
Fibroblasts, the cells responsible for extracellular matrices, become diseased in fibrosis. Researchers create 3D hydrogels that mimic living tissue to study fibrosis progression and epigenetic responses.
Researchers at the University of Virginia School of Engineering have created a new class of soft materials with exceptional stretchability and elasticity, mimicking the properties of vocal cords. The elastomers can be 3D printed for use in healthcare and exhibit promising potential for future treatments.
A team of University of Virginia researchers has uncovered a new line of attack that breaks all Spectre defenses, leaving billions of computers and devices vulnerable to hackers. The attackers can steal data by exploiting micro-op caches, which have been built into Intel processors since 2011.
The UVA Center for Engineering in Medicine has developed a robust process to help researchers win funding from institutions like the National Institutes of Health. The center's first seed grant cohorts have achieved astonishing results, including $12 million in follow-on funding with just a $2 million initial investment.
A study by University of Virginia researchers reveals that people systematically default to additive strategies, overlooking subtractive ideas. This habit can lead to missed opportunities to improve the world through subtraction, with implications across various contexts, including engineering and policy.
A multidisciplinary team of researchers has developed a new class of material with the potential to keep chips cool as they shrink in size, helping to meet the requirements of miniaturizing transistors on dense chips. The material has both low electrical conductivity and high heat transfer capability.
Liheng Cai's lab creates a new synthetic rubber that is 1,000 times softer than conventional rubber but still holds its shape. The material has superior mechanical properties and can be used for various applications, including medical implants and soft robots.
The project aims to understand the structure-function relationships of receptor-like protein tyrosine phosphatases (RPTPs), with a focus on PTPRJ. The researchers hope to design ways to augment RPTP activity in settings like cancer, where tumor growth is promoted.
A UVA-led team has developed a new approach to power grid planning that incorporates the impacts of hurricanes, reducing costs and emissions. The model simulates the likelihood and intensity of storms, allowing for more efficient infrastructure investments and projected average electricity costs.
A UVA-led team has been awarded $600,000 to develop a new coating that will enable a niobium alloy to perform at 1800°C. The HERO coating aims to increase the materials' temperature tolerance by 200 degrees Celsius, addressing a critical challenge in turbine engine technology.
Researchers at UVA School of Engineering have challenged the traditional heat transfer paradigm in semiconductor design. They discovered a new mechanism called ballistic thermal injection that allows for independent optimization of optical, electrical, and thermal behavior without impacting device performance.
Researchers have made two discoveries that expand additive manufacturing in aerospace and other industries relying on strong metal parts. They presented a process map to help manufacturers avoid generating defects during laser powder bed fusion.
A UVA-led research team designs and manufactures thermoelectric devices with increased efficiency and reduced costs. They employ additive manufacturing and advanced materials science techniques to bridge the gap between material performance and device efficiency.
Balachandran's data-driven approach predicts which alloys will perform well in extreme environments, narrowing the search for high-performance materials. His work combines artificial intelligence with quantum mechanics to make the search more productive and cost-effective.
Ihlefeld's research focuses on developing universal, pure, and smooth thin films for transistors in high-temperature environments. His innovation aims to enable the design of new microelectronics with ultra-thin insulating materials.
Researchers at the University of Virginia are working on a project to improve the durability and efficiency of air-breathing hypersonic engines. Using advanced laser techniques, they aim to capture snapshots of gas-phase combustion reactions in supersonic environments.
Researchers suggest using scientific data and predictive frameworks to identify risks of lead release, improving testing strategies and anticipating problems. Citizen scientists can aid in data gathering with mobile test kits, while AI and machine learning help identify relationships between water conditions and lead levels.
A UVA-led team explores the potential costs of negative emissions technologies, which remove carbon dioxide from the atmosphere. The research suggests that these technologies may not be able to offset current CO2 emissions, despite being touted as a solution by the UN and other institutions.
The National Science Foundation has awarded UVA a $1.2 million expansion of a grant to develop a secure, high-performance computing system for COVID-19 research. The system will provide access to protected health data for researchers across the nation.
The researchers aim to create a machine-learning solution that combines pure data-driven reinforcement learning algorithms with domain knowledge. Their technique, Dino-RL, is designed to dynamically adjust to quickly detect and fix network problems without human intervention.
The new LiDAR receiver technology boasts long-wavelength sensitivity and ultra-low noise, promising improved performance and eye safety. The invention enables higher-power operation within the 2-micrometer window, considered eye-safe for night-vision imaging applications.
The UVA team collaborated with Peking University and Caltech to develop a broadest recorded microcomb spectral span, generating light in the ultraviolet to infrared spectrum. This achievement increases the usefulness of microcombs in spectroscopy, optical clocks, and astronomy calibration.
The UVA Engineering-Virginia Tech team, Team VICTOR, will compete in the Mohamed Bin Zayed International Robotics Challenge 2020 with autonomous robots that can work independently. The team aims to develop sophisticated robots for various applications, including construction and space exploration.
Scientists at UVA aim to uncover the origin and development of coronary heart disease using a genetic variation associated with ID3 gene, with potential for personalized treatments based on patient's genotype
The University of Virginia has earned a national grant to establish a graduate course that explores the complex ethical, legal, and policy implications of new technologies. The course, called Innovation in the Public Interest, will be offered through UVA's schools of engineering, law, and politics.
The University of Virginia has launched a national research center to ensure the security of connected electronic devices. The Center for Hardware and Embedded Systems Security and Trust (CHEST) is tackling key challenges in designing, protecting, and resiliently operating electronic systems.