For a long time, finding new materials felt a bit like being a lone artisan. You’d spend ages tinkering, trying things out ...
Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...
research laboratory to study “bad bubbles” that cause defects in metal alloys used to produce engine turbine blades and semiconductor crystals that are crucial components in electronic devices.
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.
From creating lightweight yet durable prosthetics to designing new types of solar panels and batteries, materials engineers combine their expertise in physics, chemistry, biology, and engineering to ...
The University of Iowa has been awarded $1.5 million to advance materials science research by leveraging various materials’ ...
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.
When you buy through links on our articles, Future and its syndication partners may earn a commission. Credit: Lionel FLUSIN via Getty Images; Michigan State University; VCG via Getty Images; ...
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