Dream prediction by using neural networks on EEG time series collected from sleeping humans.

Proof-of-Concept pipeline utilizing 3D Spatio-Temporal CNNs to analyze nanobubble stability in MD simulations. Implements end-to-end data ingestion from LAMMPS, voxelization, and HPC deployment (Singularity/Slurm), serving as a foundation for deep learning on volumetric molecular data.