With additive manufacturing, used to build this heat exchanger, one key is to do prototyping for the part and then see whether additive or subtractive manufacturing is the better choice of manufacture ...

Researchers use large language models to streamline nanoscopic material design for advanced optical systems like camera ...

Rendered model showing a complex 3D structure made up of thousands of repeating microscopic patterns. By teaching an AI model to predict the behavior of these patterns, the Drexel team can design ...

Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to determine the porosity of fibrous materials using a single image taken with ...

A new computational approach developed at the University of Chicago promises to shed light on some of the world’s most puzzling materials—from high-temperature superconductors to solar cell ...

Researchers developed a machine-learning framework that can predict a key property of heat dispersion in materials that is up to 1,000 times faster than other AI methods, and could enable scientists ...

Organ failure impacts millions of patients each year and costs hundreds of billions of US Dollars. Over the last 30 years, scientists have utilized a combination of tools, methods, and molecules of ...

Thermoelectric materials could play an important role in the clean energy transition, as they can produce electricity from sources of heat that would otherwise go to waste. Researchers report a new ...