The molecular-scale design of materials is one of the major frontiers in modern science. Flat, highly conjugated organic molecules are already used in advanced technologies such as chemical sensors, ...

Scientists have uncovered evidence that our Sun may have traveled across the Milky Way as part of a massive migration of ...

To survive in areas where it is difficult to photosynthesize, some organisms adopt unique strategies. Osaka Metropolitan University researchers have found that a freshwater alga captures far-red light ...

Chemists have developed a light-driven method for producing a rare and highly strained molecular structure known as “housane.” Designing a new drug often starts with a basic but difficult task: making ...

Thanks to the alternating single-double nature of the bonds, electrons in these orbitals end up delocalized; the differences between the bonds become a bit irrelevant, and the molecule is best viewed ...

For billions of years before reaching its current location, the Sun may have slowly travelled as part of a large group, or “wave,” of stars drifting out from the inner parts of the Milky Way. This ...

Yield loss is increasingly driven by molecular variability in thin films, interfaces, and contamination rather than visible defects. Reliability issues often appear first as parametric drift or margin ...

A tiny burst of motion inside a molecule may be enough to shove an electron across a solar material almost as fast as nature permits. That is the striking result from a University of Cambridge-led ...

Diamonds are famous for their strength, but scientists have long suspected that another form of diamond might be even harder. Evidence of this was gathered over the past sixty years in meteorite ...

New ALMA observations reveal a complex network of gas filaments in the Milky Way’s central 650 light-years, enabling detailed studies of star formation in extreme galactic conditions.

The research team used a 'new chemical strategy' to create plastic that would degrade naturally.

Researchers developed a machine-learning workflow that predicts how chemical reactions will form specific “handed” versions of molecules—critical for safe and effective drugs. Trained on small ...