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University of Illinois Grainger College of Engineering


Next generation semiconductors: Diamond device shows highest breakdown voltage

Researchers at the University of Illinois have developed a diamond semiconductor device with the highest breakdown voltage and lowest leakage current. The device operates at high voltages and currents without losing electrical performance, making it suitable for applications such as solar panels and wind turbines.

SourceUniversity of Illinois Grainger College of Engineering·JournalIEEE Electron Device Letters·DateNov 27, 2023

The Long Jump: Athletic, insect-scale long jumping robots reach where others can't.

A team of engineers from the University of Illinois has developed a long-jumping robot with a lightweight elastomer body and artificial muscle made from coiled nylon fishing line. The robot can jump 60 times its body size in horizontal distance, opening up new possibilities for sensing and exploration applications.

SourceUniversity of Illinois Grainger College of Engineering·JournalSmart Materials and Structures·DateNov 13, 2023

Nondestructive measurement realized in ytterbium qubits, aiding the development of scalable neutral atom quantum computing

Researchers at the University of Illinois have developed a procedure for measuring ytterbium-171 qubits that preserves them for future use, enabling long multistage calculations and multistage operations. This breakthrough paves the way for scalable neutral atom quantum computing.

Study observes sudden acceleration of flow, generates new boundary layer

Aerodynamic researchers at University of Illinois create wind tunnel experiment to study internal boundary layers and their impact on flow behavior. They identify a new internal boundary layer that changes the flow's behavior, providing insights into aerodynamics physics and improving turbulence models for complex designs.

SourceUniversity of Illinois Grainger College of Engineering·JournalJournal of Fluid Mechanics·DateAug 17, 2023

Generative AI ‘fools’ scientists with artificial data, bringing automated data analysis closer

A new AI technology has been developed to generate artificial scientific data, allowing for faster and more efficient detection of material features. The AI uses generative adversarial networks to incorporate background noise and experimental imperfections into the generated data, making it virtually indistinguishable from real data.

SourceUniversity of Illinois Grainger College of Engineering·Journalnpj Computational Materials·DateJul 11, 2023

Navigating the future of underwater geolocalization: how polarization patterns enable new technology

Researchers developed a novel method for underwater geolocalization using deep neural networks trained on 10 million polarization-sensitive images. The technology enables tethered-free navigation and has the potential to improve location accuracy, enabling in situ autonomous sampling robots to monitor water properties.

A new twist on chirality: researchers extend the concept of directionality and propose a new class of materials

A team led by Taylor Hughes and Gaurav Bahl has experimentally realized a theoretical extension of chirality in two dimensions. They constructed a topological circuit network to explore new behaviors predicted by this extended chirality, which manifests as locking between a particle's flow direction and an arrow carried along with it.

Putting hydrogen on solid ground: Simulations with a machine learning model predict a new phase of solid hydrogen

Researchers used a machine learning model to simulate the behavior of hydrogen atoms at high pressures, discovering a new phase that was missed by previous theories and experiments. The discovery has sparked further investigation into the properties of solid hydrogen under extreme conditions.

SourceUniversity of Illinois Grainger College of Engineering·JournalPhysical Review Letters·DateApr 21, 2023

Illinois researchers achieve the first silicon integrated ECRAM for a practical AI accelerator

Researchers at the University of Illinois Grainger College of Engineering have successfully integrated arrays of electrochemical random-access memory (ECRAM) onto silicon transistors, creating a practical AI accelerator. This innovation eliminates energy costs associated with data transfer and enables efficient deep learning operations.

University of Illinois researchers present new theory of convection for understanding fast charging of batteries

Researchers from the University of Illinois have developed a new theory that explains how convection occurs inside reactive porous media, shedding light on mass and heat transfer principles. The theory introduces a spectral Sherwood number and extends Newton's law of cooling for convection heat transfer to transient conditions.

SourceUniversity of Illinois Grainger College of Engineering·JournalJournal of Power Sources·DateMar 21, 2023

Reaching like an octopus: A biology-inspired model opens the door to soft robot control

A multidisciplinary team developed a physiologically accurate model of octopus arm muscles, providing insight into biological and design challenges. The model enables energy-shaping control, simplifying arm control design and enabling life-like motion in soft robots.

SourceUniversity of Illinois Grainger College of Engineering·JournalProceedings of the Royal Society A Mathematical Physical and Engineering Sciences·DateFeb 24, 2023

New research computes first step toward predicting lifespan of electric space propulsion systems

New research computes first step toward predicting lifespan of electric space propulsion systems by developing a model that bridges scales between molecular dynamics simulations and experiments. The model resolves limitations and uncertainties in experimental data, gaining insight into critical phenomenon and surface morphology over time.

Fermi kinetics transport program models high-speed semiconductor devices better, Journal of Applied Physics editor’s pick study says

Researchers compared two semiconductor simulation tools and found that the Fermi kinetics transport solver outperforms a commercial hydrodynamics software package in modeling electronic heat flow and electron temperature, particularly in high-speed applications. The custom-developed code converges faster and provides more consistent re...

SourceUniversity of Illinois Grainger College of Engineering·JournalJournal of Applied Physics·DateDec 19, 2022

Solving the puzzle: Cubic silicon carbide wafers demonstrate high thermal conductivity, second only to diamond

Researchers at the University of Illinois have solved a long-standing puzzle about cubic silicon carbide's thermal conductivity, which is higher than previously thought. The team measured an isotropic high thermal conductivity of over 500 W m–1 K–1, ranking it second only to diamond.

Megadrought: How the current Southwestern North American megadrought is affecting Earth's upper atmosphere

Research shows that the Southwestern North American megadrought caused a significant reduction (~30%) in wave activity after its onset, which may be related to reduced storm generation and altered precipitation patterns. The findings demonstrate that regional changes in the lower atmosphere can impact the upper atmosphere.

SourceUniversity of Illinois Grainger College of Engineering·JournalGeophysical Research Letters·DateDec 6, 2022