New York announces Radical AI's autonomous materials science lab in Brooklyn, backed by $2 million in tax credits.

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

Scientists are learning how to temporarily reshape materials by nudging their internal quantum rhythms instead of blasting ...

An introductory course focused on the new and existing materials that are crucial for mitigating worldwide anthropogenic CO2 emissions and associated greenhouse gases. Emphasis will be placed on how ...

Recognition as a top packing materials manufacturer is generally the result of sustained performance rather than short-term ...

The integration of self-driving laboratories and advanced automation software is revolutionising the fields of chemistry and materials science. By harnessing the power of robotics, artificial ...

Graphene has long been hailed as a "wonder material." It is incredibly strong, highly conductive and almost impossibly thin—just one atom thick. These properties make it a promising candidate for next ...

For a long time, material development has focused on enhancing performance and reducing costs. Efforts have been directed toward making products lighter, tougher, better insulated, more beautiful, ...

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 ...

In this interview, Markus Buehler discusses MIT's Machine Learning for Materials Informatics course, its curriculum, and its impact on the broader materials science community, emphasizing the exciting ...