Three new exciting preprints are now online! Two are on the topic of Reduced Order Models (ROMS), namely on Structure-Preserving Hyper-Reduction and on Energy-consistent, velocity-only ROMs for time-dependent boundary conditions. The third preprint is an entirely new idea to solve the turbulence closure problem with neural networks: Energy-Conserving Neural Network for Turbulence Closure Modeling.