Tech Xplore on MSN
Building better batteries with amorphous materials and machine learning
Lithium-ion batteries power most electronics, but they have limited energy density—they can store only a certain amount of ...
Each year, Georgia quarries generate millions of tons of leftover byproducts called pond screenings, much of which sits ...
Tech Xplore on MSN
Optical interference sensor system developed for simultaneous precision force and depth measurement
A research team led by Professor Cheol Song at the Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk ...
From September 15 to 19, Rome hosted the NanoInnovation Conference 2025 at the Faculty of Civil and Industrial Engineering of ...
Learn how to study for the FE exam with an 8-week plan, test strategies, and materials to build confidence and pass on your ...
A MOF enhanced tribovoltaic nanogenerator directly charges a supercapacitor, creating a compact self-charging system that ...
Forward Engineering GmbH walks through a modular testing and simulation approach designed to enable more accurate material ...
2don MSN
Parallel microdevice with AI-powered single-cell analysis enables rapid, high-throughput delivery
Many applications—from drug discovery and diagnostics to cell engineering and gene modulation—require delivering biomolecules ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
This paper introduces a smart tracking system that helps locate building materials on construction sites more efficiently, ...
Solid-state phosphorescent materials with stimulus-responsive properties have been widely developed for diverse applications. However, the task of generating excited states with long lifetimes in ...
To use GenAI effectively and safely, organizations need clear policies, thoughtful governance and strong technical safeguards ...
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