AI supports research at ATOMKI
AISC used machine learning methods to support a research project studying molecular interactions and the publication now being prepared.
In a new research partnership, the HUN-REN AI Service Centre (AISC) supported an ATOMKI project whose results are now being written up for a scientific publication. Working together, the researchers used artificial intelligence and machine learning methods to estimate the state-selective properties of molecular interactions.
The models developed aim to significantly reduce the simulation needed for quantum state changes induced by molecular collisions, making research faster and more efficient.
The project is a good example of how AISC contributes, through its AI4Science programme, to work in different scientific fields across the HUN-REN research network: with targeted, high-level AI support, it helps solve complex research problems and produce internationally relevant scientific results.