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cond-mat.mtrl-sci2026
Dilute-Limit Defect Displacements Enabled by Brillouin-Zone Sampling
Mark E. Turiansky, John L. Lyons, Noam Bernstein
Defects and their interaction with the semiconductor host lattice play an essential role in a variety of technologies. When a defect transitions between two electronic states, the…
cond-mat.mtrl-sci2025★ 3 cited
Machine Learning Phonon Spectra for Fast and Accurate Optical Lineshapes of Defects
Mark E. Turiansky, John L. Lyons, Noam Bernstein
The optical properties of defects in solids produce rich physics, from gemstone coloration to single-photon emission for quantum networks. Essential to describing optical transitio…
cond-mat.mtrl-sci2024
From GAP to ACE to MACE
Noam Bernstein
The Gaussian approximation potential (GAP) machine-learning-inspired functional form was the first to be used for a general-purpose interatomic potential. The atomic cluster expans…