A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...
The dream of creating a powerful magnet without the use of hard-to-source rare earth metals is now a reality thanks to recent ...
4hon MSN
Trace additive unlocks faster bioplastic biodegradation without losing transparency or strength
Compostable plastics could be part of a solution to the world's plastic waste problem. But currently these materials need ...
Sitting in a restaurant, you reach for the ketchup bottle, eyeing the basket of fries in front of you. You give the bottle a ...
Small-scale testing enables the isolation of mechanisms. Instead of measuring the averaged response of a large specimen, ...
The U.S. government awards $500 million to Nvidia-backed SandboxAQ to develop new chipmaking materials, PFAS alternatives and ...
GlobalData on MSN
H&M Foundation names winners of Global Change Award 2026
H&M Foundation has named 10 winners of the Global Change Award 2026, highlighting projects addressing environmental and efficiency challenges in fashion.
In order to move more semiconductor manufacturing onshore, the US needs to depend less on foreign-sourced materials. Now, the ...
Flocking birds and schools of fish are a familiar sight. While previous research has uncovered the broad dynamics driving ...
The report highlights how bio-based materials are primarily framed as substitutes for finite materials.
Tech Xplore on MSN
AI model extracts hidden semiconductor properties from simple transistor tests in under 1 millisecond
A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...
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