Category Physics

New Study uses Machine Learning to Bridge the Reality Gap in Quantum Devices

New study uses machine learning to bridge the reality gap in quantum devices
(a) Device geometry including the gate electrodes (labeled G1–G8), donor ion plane, and an example disorder potential experienced by confined electrons. Typical flow of current from source to drain is indicated by the white arrow. (b) Schematic of the disorder inference process. Colors indicate the following: red for experimentally controllable variables, green for quantities relevant to the electrostatic model, blue for experimental device, and yellow for machine learning methods. Dashed arrows represent the process of generating training data for the deep learning approximation and are not part of the disorder inference process. Credit: Physical Review X (2024). DOI: 10.1103/PhysRevX.14.011001

A study led by the University of Oxford has used the power of machine learning to ove...

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Multiple AI Models Help Robots Execute Complex Plans more Transparently

Multiple AI models help robots execute complex plans more transparently
The HiP framework developed at MIT CSAIL develops detailed plans for robots using the expertise of three different foundation models, helping it execute tasks in households, factories, and construction that require multiple steps. Credit: Alex Shipps/MIT CSAIL

Your daily to-do list is likely pretty straightforward: wash the dishes, buy groceries, and other minutiae. It’s unlikely you wrote out “pick up the first dirty dish,” or “wash that plate with a sponge,” because each of these miniature steps within the chore feels intuitive. While we can routinely complete each step without much thought, a robot requires a complex plan that involves more detailed outlines.

MIT’s Improbable AI Lab, a group within the Computer Science and Artificial Intelligence Laboratory (CSAIL), has offered t...

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A Butterfly-Inspired Design to Create Crumple-Recoverable Electronics

A butterfly-inspired design to create crumple-recoverable electronics
Credit: Roh et al, Nature Electronics (2023). DOI: 10.1038/s41928-023-01089-6

Over the past decades, electronics engineers have created devices of various shapes and with increasingly sophisticated designs. This includes electronics that can be folded onto themselves, such as foldable phones, along with various other compressible devices.

Researchers at Ajou University and other institutes in South Korea recently introduced a new design for developing crumple-recoverable electronics, or in other words, electronics that can recover their original shape after being crumpled or compressed onto themselves to reduce their size...

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Computational Method discovers Hundreds of New Ceramics for Extreme Environments

rows and rows of graphic 3D lines forming boxes with different colored spheres inside
““Spark plasma sintering or field assisted sintering technology (FAST) is not a common technique in industry yet. However, current ceramic manufacturers could pivot to making these materials by making small adjustments to existing processes and facilities.”
Doug Wolfe
Professor of Materials Science and Engineering and Associate Vice President for Research at Penn State

If you have a deep-seated, nagging worry over dropping your phone in molten lava, you’re in luck.

A research team led by materials scientists at Duke University has developed a method for rapidly discovering a new class of materials with heat and electronic tolerances so rugged that they that could enable devices to function at lava-like temperatures above several thousands of degrees Fahrenheit.

Harder than st...

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