3 papers
quant-ph2026★ 1 cited
Trans-dimensional Hamiltonian model selection and parameter estimation from sparse, noisy data
Abigail N. Poteshman, Jiwon Yun, Tim H. Taminiau +1
High-throughput characterization often requires estimating parameters and model dimension from experimental data of limited quantity and quality. Such data may result in an ill-pos…
cond-mat.mtrl-sci2025
High-throughput computation of electric polarization in solids via Berry flux diagonalization
Abigail N. Poteshman, Francesco Ricci, Jeffrey B. Neaton
Electric polarization in the absence of an externally applied electric field is a key property of polar materials, but the standard interpolation-based ab initio approach to comput…
quant-ph2025
High-throughput spin-bath characterization of spin-defects in semiconductors
Abigail N. Poteshman, Mykyta Onizhuk, Christopher Egerstrom +4
Detailed knowledge of the local environments of spin-defects in semiconductors, such as nitrogen vacancy (NV) centers in diamond or divacancies in silicon carbide, is crucial for o…