Author: Patricia DeLacey
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A self-cleaning device for oceanic carbon capture
Cyclic pH swings wash away electrode fouling, and a ridged flow channel swirls water to reach an industrial-scale current density.
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New model bridges ferroelectric physics and circuit modeling
Circuit designers can now accurately predict ferroelectric behavior under real-world voltages, helping simulate chip performance for next-generation AI computing.
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Designing memory-centric chips for future space telescopes
An SRAM chip design could avoid data-movement bottlenecks, helping next-generation telescopes image Earth-like planets orbiting distant suns.
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Molten salt reactors: A new testing facility improves pump shaft seals
A rare, long-duration experiment tested a circumferential graphite bushing seal under conditions representing a molten salt reactor for 2,300 hours.
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X-pinch plasma achieves radial proton acceleration for crisp imaging
Plasma pinches: From pursuits of nuclear fusion to an attractive point source of accelerated protons for proton radiography.
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Mobile VPN security is not as strong as advertised
A new VPN auditing framework, MVPNalyzer, found many popular Android VPNs transmit sensitive data without encryption, some leak traffic and most fail to protect user IDs.
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Detecting neutron sources by borrowing inference tools from cosmology
A Bayesian approach that identifies neutron sources with high confidence from sparse data could improve radiation detectors for nuclear security and non-proliferation.
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Smarter diagnostics could extend the lives of silicon EV batteries
A new battery management system uses everyday charging data to diagnose when silicon is most vulnerable, helping guide smarter battery temperature control to protect it.
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Air quality: rainfall history matters as much as where the air came from
A 19-year ‘goldmine’ of cloud and rainwater samples collected from a New Hampshire mountain provides fresh insights about air pollution.
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Organic glass scintillators: A Q&A with Sara Pozzi
The radiation detection material stands to improve nuclear security by clearly distinguishing radiation types from a safe distance.
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Better helium reporting to improve fission and fusion materials modeling
Helium generation predictions vary by as much as 200%, a new standardized reporting method can help move the field forward.
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Key structures to metallic glass stability revealed with machine learning
Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties.