The integration of AI in materials development streamlines workflows, enhances formulation efficiency, and supports scientists in making informed decisions.

Sampling microplastic pollution in the air, and challenging the size detection limit with sub-micron IR spectroscopy .

Automated particle detection and advanced optics simplify microplastic analysis for users at every experience level.

This interview takes a closer look at how polymer characterization supports smarter decisions from early development to full-scale manufacturing.

Northwestern University researchers used a Birch reduction-inspired solvated electron solution to relithiate chemically degraded NMC532 within seconds at room temperature, followed by a three-hour ...

In partnership with the University of Bristol, Astral Systems has become the first commercial fusion company to breed tritium using their own fusion reactor. This breakthrough helps address one of the ...

Careful pretreatment and method cross-validation support accurate, consistent microplastic identification and measurement.

Researchers reviewed advances in alloy-based anodes for rechargeable magnesium batteries, comparing Mg-free hosts, Mg-containing alloys and alloy-derived surface modifications as routes to improve ...

Researchers developed a room-temperature, maskless electrodeposition method for directly 3D-printing freestanding copper ...

This review examines how the rheology, surface oxidation, and interfacial properties of liquid metals shape their ...

A review of rare earth element-containing materials finds that cerium, lanthanum, and other REEs can improve redox behavior, ...

Rough finishes, limited wear resistance, and poor adhesion to protective coatings can restrict polymer use in demanding ...