Tedious trial-and-error, or a systematic screening method? The latter is the clear winner, but how do we go about doing it? Researchers at Tohoku University explain the workflow, and how it screened for an efficient, Ruthenium-based catalyst.

Discovering new catalysts to power hydrogen production often involves a time-consuming trial-and-error process. Not only that, but materials scientists often have to comb through troves of scientific data and experimental data. Yet these days may be over thanks to a new AI-powered platform that enables researchers to identify new catalysts for methane pyrolysis— a promising technology for producing hydrogen with lower carbon emissions.

An exciting new strategy involving a specially designed iron-based catalyst can speed up the reaction that powers next-gen zinc-air batteries. This means cleaner, more efficient energy for everyone.

Exciting new research at Tohoku University’s Advanced Institute for Materials Research (WPI-AIMR) explains how to transform decades of scattered literature data into design rules for catalysts.

Researchers at Tohoku University look beyond the life-taking venomous stings of box jellyfish, and focus on life-creating processes in a new comprehensive study of their reproductive traits.

A newly designed magnesium-tin alloy is bringing magnesium batteries a step closer to reality. The new alloy design improves both stability and magnesium-ion transport inside solid-state batteries, helping address one of the long-standing challenges in next-generation battery technology.

Certain β-titanium alloys achieve ultrahigh compressive strength despite showing none of the precipitate particles that typically explain such strength. Using aberration-corrected electron microscopy and elemental mapping, researchers at AIMR identified nanoscale short-range chemical and topological ordering within the alloy matrix as the hidden strengthening mechanism, opening new avenues for designing high-performance titanium alloys.

What if some of the most important scientific discoveries are already hidden in data collected years ago? Researchers at Tohoku University are exploring how AI and data-driven science can reveal new insights from past experiments and scientific literature. Their review highlights how old data could help accelerate discoveries in chemistry and materials science.