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cond-mat.mtrl-sci2025
Equivariant machine learning of Electric Field Gradients -- Predicting the quadrupolar coupling constant in the MAPbI phase transition
Bernhard Schmiedmayer, J. W. Wolffs, Gilles A. de Wijs +3
We present a strategy combining machine learning and first-principles calculations to achieve highly accurate nuclear quadrupolar coupling constant predictions. Our approach employ…
quant-ph2025★ 1 cited
Analysis of a 3D Integrated Superconducting Quantum Chip Structure
James Saslow, Hiu Yung Wong
This work presents a combined analytical and simulation-based study of a 3D-integrated quantum chip architecture. We model a flip-chip-inspired structure by stacking two supercondu…