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cond-mat.mes-hall2022★ 19 cited
Machine Learning Diffusion Monte Carlo Energies
Kevin Ryczko, Jaron T. Krogel, Isaac Tamblyn
We present two machine learning methodologies that are capable of predicting diffusion Monte Carlo (DMC) energies with small datasets (~60 DMC calculations in total). The first use…
cond-mat.mes-hall2022
Correlative nanoscale imaging of strained hBN spin defects
David Curie, Jaron T. Krogel, Lukas Cavar +11
Spin defects like the negatively charged boron vacancy color center () in hexagonal boron nitride (hBN) may enable new forms of quantum sensing with near-surface defects in…