Machine learning for laser-induced electron diffraction imaging of molecular structures

Abstract

Diffraction imaging offers high spatiotemporal resolution, but fitting complex molecular structure data is expensive. Here, the authors use a machine learning algorithm with a convolutional neural network to retrieve a complex and large molecule, fenchone (C10H16O), from laser-induced electron diffraction data without the need for fitting or ab initio calculations.