SOURCE-LINKED INTELLIGENCE
PREbiotic Chemistry to study the Interstellar Origin and evolUtion of Sugars
he PRECIOUS project, I will develop an innovative strategy to fill this gap. I will design new methods to compute the missing collisional data, combining quantum and classical approaches supported by machine learning tools. Using these data, I will determine the abundances of glycolaldehyde and methyl formate in two molecular clouds rich in prebiotic chemistry, and I will employ newly developed chemical models to predict their abundances. This work will, for the first time, allow us to identify how glycolaldehyde is formed in space. By doing so, this project will provide crucial insights into the formation of the molecular building blocks of life. Collisional rate coefficients, Radiative Transfer Modelling, Chemical Modelling
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 194074.56
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.