A major challenge in materials science is the determination of the structure of nanometre-sized objects. Here we present an approach that uses a generative machine learning model based on diffusion ...

Diffusion is one of the most important phenomena studied in science ranging from physics to biology and, in abstract form, even in social sciences. In the field of materials science, diffusion in ...

Researchers have recast diffusion in multicomponent alloys as a sum of individual contributions, called 'kinosons.' Using machine learning to compute the statistical distribution of the individual ...

The migration of carbon atoms on the surface of the nanomaterial graphene was recently measured for the first time. Although the atoms move too swiftly to be directly observed with an electron ...

Thermoelectric technology enables the direct conversion between heat and electricity based on the Seebeck and Peltier effects, and can be used for both power generation and refrigeration. However, the ...

The graduate programs in materials science and engineering from Drexel Engineering engage you in learning and research at the forefront of materials science. Students graduate prepared for careers in ...