Material reliability is critical in the oil and gas industry. Infrastructure ranging from pipelines to pressure vessels operates under extreme conditions where even a minor failure can lead to ...

Researchers look to deep learning techniques in order to streamline the time-consuming process of identifying 2D materials. Researchers have developed a deep learning-based approach that significantly ...

100% starting materials identification testing is a requirement according to the US FDA’s directive 211.84 for FDA-regulated industries such as Vaccines, Tobacco, Pharmaceutical, Food, Cosmetics, ...

New technical paper titled “Recent advances and applications of deep learning methods in materials science” from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon ...

Recycling-focused technology firm says its Scrap Science app offers affordable metals identification and workforce training tools. Beyond materials identification, employers can use the Scrap Science ...