The LLNL team's machine learning model has revealed that CO 2 capture by amines involves the formation of a carbon-nitrogen chemical bond between the amino group and CO 2, alongside a complex set ...

Researchers at the University of Illinois Urbana-Champaign have discovered important new clues in the mystery of how an ...

A team of scientists at Lawrence Livermore National Laboratory (LLNL) has developed a machine-learning model to gain an atomic-level understanding of CO 2 capture in amine-based sorbents. This ...

A new reagent has moved carbon-atom transfer out of the chemical flatlands, allowing chemists to place a single carbon atom so that it makes bonds to four different substituents. The reagent makes ...

Carbon dioxide’s powerful heat-trapping effect has been traced to a quirk of its quantum structure. The finding may explain climate change better than any computer model.