Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new ...

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.

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 ...

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 ...

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.

Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...

Princeton Engineering researchers are combining their expertise in chemical engineering, materials and computation to design crystalline materials that can be used to mitigate pollution or make ...

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