Researchers at Ohio State University have built a disk-shaped cluster that converts carbon dioxide into methanol at around ...

Low-temperature CO2 hydrogenation might have sounded almost paradoxical until a recent study made it possible. Researchers ...

Chemists have discovered a new molecular shape, and it is twice as odd as the twisty Möbius strip. The Möbius strip is a looped band with a twist, such that something tiny, such as an ant, would have ...

Abstract: Accurate molecular representation plays a crucial role in expediting the process of drug discovery. Graph neural networks (GNNs) have demonstrated robust capabilities in molecular ...

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was elegant; the reality proved far more complex. Within a device, molecules ...

Recent data from the Cassini mission to Saturn have shed new light on the surface of the saturnian moon Iapetus, particularly the presence and movement of carbon dioxide. University of Arizona ...

ABSTRACT: Carbon capture and storage (CCS) is a critical technology for mitigating greenhouse gas emissions and achieving global decarbonization targets. However, the feasibility and effectiveness of ...

The award-winning science writer Peter Brannen makes the case for an often vilified compound in “The Story of CO2 Is the Story of Everything.” By Jaime Green Jaime Green is the author of “The ...

In a first that could change how scientists study the building blocks of life, ETH Zurich researchers have shown that molecular ‘handedness’ is not just structural but also electronic. By using ...

An engineered protein that acts like a molecular sponge has the potential to change how carbon monoxide poisoning is treated, chasing down CO molecules in the bloodstream and helping the body flush ...

Chiral gold nanostars show how molecular asymmetry transfers to high-symmetry nanoparticles, producing structures with distinctive optical behavior and enhanced molecular detection. (Nanowerk ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, in ...