Coulomb explosion imaging of molecular geometries

We report the retrieval of real-space molecular geometries from multi-coincidence Coulomb explosion imaging measurements of 1,2-dichloroethylene C₂H₂Cl₂ exposed to intense laser fields [1]. Molecular geometries are reconstructed using a neural network model trained on Coulomb explosion observables generated from ab initio molecular dynamics simulations. The retrieved geometry distributions are in good agreement with experimental data, providing a new tool for studying molecular dynamics in real space.