Transmission electron microscopes (TEMs) allow researchers at the forefront of energy technology to study next-generation ...

Berlin Coyotiv and OpenServ Labs published a research paper introducing BRAID (Bounded Reasoning for Autonomous ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

Achieving both a low operating temperature for photovoltaic (PV) and a high heat collection temperature for photothermal (PT) ...

An AI-powered toolkit automatically extracts and quantifies microstructural features from microscopy images, accelerating ...

Diffusion barrier materials (DBMs) are critical for the stability and efficiency of thermoelectric devices. This study ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

When aerospace engineers talk about the future of flight, liquid hydrogen (LH2) is often part of the conversation. It is lightweight, energy-dense and carbon-free at the point of use. But storing and ...

Top Multi-Axial Warp Knitting Machine With Multi-Angle Weft Insertion. This sophisticated engineering solution is specifically designed to produce multi-layer, multi-directional warp knitted fabrics, ...

By synthesizing information across these disparate apps and experiences, Gemini acts as an assistant capable of drafting, iterating, and perfecting complex, finished, professional-grade content in ...

The GPCRact AI model goes beyond AlphaFold3 by predicting whether drugs functionally activate G-protein-coupled receptors ...