A machine learning algorithm to deal with the unitary limit is developed

Machine learning is used to to deal with the unitary limit.

The unitary limit of an infinte scattering length plays an important role in nuclear and atomic physics. Existing ML algorithms can not cope with such a situation. Based on a new topological interpretation of the unitary limit, we have developed an algorithm that allows to recover the unitary limit based on ML.

Link to publication in JUSER