London Institute for Mathematical Sciences

Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning

High‐dimensional molecular fingerprints have become a quiet bottleneck for chemical machine learning, where bit collisions in large, chemically diverse datasets and escalating computational costs constrain model discovery. This work introduces the embedded Morgan Fingerprint (eMF...

Superconductivity from doping symmetric mass generation insulators: application to La3Ni2O7 under pressure

Abstract We investigate the bilayer nickelates as a platform to realize the symmetric mass generation (SMG) insulator, a featureless Mott insulator that arises due to the Lieb-Schultz-Mattis (LSM) anomaly cancellation in bilayer spin-1/2 lattice systems. Through a single-orbital...