• Bringing Quantum Computing to Light

    Xu Yi’s pioneering work leverages light wave technology in hopes of making quantum computing scalable and error-resistant.

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  • Fueling the Next Wave of Hypersonic Innovations: UVA’s New Aerospace Engineering Faculty

    Newly appointed faculty members will add even more strength and momentum to mechanical and aerospace engineering advancements as they assimilate into the School’s accomplished hypersonic research team

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  • In the Blink of An Eye

    Lee's vision for biomimicking sensor systems presents a complete story from materials to integration to application.

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  • UVA Materials Science Engineers Work on New Material for Computer Chips

    Samantha Jaszewski and Shelby Fields publish landmark studies on stability of ferroelectric hafnium oxides.

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  • CAREER Award: Designing the Next Generation of Wireless Communications Systems

    Working in partnership with industry, Shen's machine-learning models can be prototyped, standardized and integrated into real systems.

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  • Rescuing the Endangered Telescope

    Read how UVA and the National Radio Astronomy Observatory made Charlottesville a nexus for the world's radio astronomers.

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  • UVA-led Research Team Pursues Next Big Leap in Radar and GPS

  • UVA Researchers Advance Bioprinting

    Rsearcher’s paper, Digital Assembly of Spherical Viscoelastic Bio-ink Particles, termed DASP, is featured as a cover article in Advanced Functional Materials. 

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  • UVA Multifunctional Thin Film Group Lends Expertise to Electric Vehicle Battery Challenge

    Ian Brummel studies materials that will make the lithium battery safer and allow it to charge faster. 

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  • UVA Joins Multi-University Team to Design New Class of Semiconductor Materials

    Avik Ghosh joins multi-university initiative to model the physics of materials for infrared opto-electronic systems.

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  • Say Goodbye to the Memory Wall

    Researchers in the University of Virginia’s Department of Computer Science and Charles L. Brown Department of Electrical and Computer Engineering are leading a $29.7 million research effort to remove.

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  • Test Kitchens for Solar Cells

    Researchers use machine learning to tap perovskites’ potential to lower the cost of solar energy.

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