Elucidation of chemical reaction mechanisms by covariance-map imaging of product scattering distributions.
Claire brought a problem about exploding molecules to the OCCAM Mathematics and Chemistry Study Group in 2013 and those interactions led to important progress on analysing 2D imaging data on molecular Coulomb explosions using covariance map. The challenge she faces now is on formulating a mathematical expression for the covariance map over the relevant 3D distributions. I encourage all interested party to join us and especially those interested in image processing and inverse problem.
Devising an ANN Classifier Performance Prediction Measure
The challenge they will present is on predicting the performance of artificial neural network (ANN) classifiers and understanding their reliability for predicting data that are not presented in the training set. We encourage all interested party to join us and especially those interested in machine learning and data science.