Charting the emergent low-dimensional manifold of quantum materials
This paper demonstrates that unsupervised nonlinear dimensionality reduction applied to the Inorganic Crystal Structure Database reveals a hidden low-dimensional geometric manifold that organizes crystalline materials, successfully segregating superconductors and enabling accurate prediction of critical temperatures without knowledge of the underlying pairing mechanism.