Our work accepted by Appl. Phys. Rev. Big Congratulations!

February 17, 2022

There has been an effect, termed proximity effect, that can lead to spintronics without energy dissipation or qubits with error tolerance. However, identifying proximity effect has been nontrivial: the effect extends about ~1 nanometer space, comparable to instrumental resolution for neutron reflectometry. In our work, we built a comprehensive machine learning framework and showed it can improve the resolution by a factor of 2, which allows a more conclusive identification of the proximity effect. The work can also be used to identify other nuance spectroscopic signals.