Mar. 12, 2025 — Scientists have developed an innovative solar-powered method to transform sewage sludge -- a by-product of wastewater treatment -- into green hydrogen for clean energy and single ...
Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying ...
RIT offers undergraduate and graduate degree programs that prepare you for professional work in research laboratories and industrial settings. The materials science graduate program seeks to provide ...
researchers from the Institute of Science and Technology Austria (ISTA) used a 3D printing technique to fabricate high-performance thermoelectric materials, reducing production costs significantly.
Join an emerging field with practical applications. While the origins of materials science lie in metallurgy, today it is a highly interdisciplinary field that brings together condensed matter ...
Computational materials science is now powerful enough that it can predict many properties of materials before those materials are ever synthesized in the lab. By scaling materials computations over ...
quacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.
And you’ll attend a weekly colloquia series with industry leaders. You’ll put your knowledge to action with research opportunities alongside your PhD advisor on the subject of your choice, such as ...
Nature Materials is a monthly multi-disciplinary journal aimed at bringing together cutting-edge research across the entire spectrum of materials science and engineering. Materials research is a ...
President Donald Trump says he was reevaluating plans to double steel and aluminum tariffs on Canada to 50% after Ontario announced it would suspend a 25% surcharge on electricity sent to the US.
In addition to applications beyond robotics, such as the study of active matter in physics or collective behavior in biology, the combination of these robotic ensembles with machine learning ...