The surface and interface coordination structures of heterogeneous metal catalysts are
crucial to their catalytic performance. However, the complicated surface and interface …

Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

Solar-to-chemical energy conversion through artificial photosynthesis is an ideal route to
address the global energy crisis and realize carbon neutrality in the future. Over the past …

Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …

Machine learning (ML) is rapidly emerging as a pivotal tool in the hydrogen energy industry
for the creation and optimization of electrocatalysts, which enhance key electrochemical …

Autonomous laboratories can accelerate discoveries in chemical synthesis, but this requires
automated measurements coupled with reliable decision-making,. Most autonomous …

The ability to integrate resources and share knowledge across organisations empowers
scientists to expedite the scientific discovery process. This is especially crucial in addressing …

Artificial chiral materials and nanostructures with strong and tuneable chiroptical activities,
including sign, magnitude, and wavelength distribution, are useful owing to their potential …

High-entropy alloys (HEAs) are a new kind of alloy with five or more alloy elements at equal
or near-equal ratios. The tunable multicomponent structure and potential novel properties of …

Challenging enantio-and diastereoselective cobalt-catalyzed C–H alkylation has been
realized by an innovative data-driven knowledge transfer strategy. Harnessing the statistics …