Stephen Ragole

stephen-ragole's picture
Ph.D., Physics (2018)
sragole@gmail.com
(301) 314-1849
Website

Stephen Ragole graduated from the University of Maryland in 2018 with a PhD in Physics.  His adviser was Jacob Taylor.

Publications

2018

J. P. Zwolak, Kalantre, S. S., Wu, X., Ragole, S., and Taylor, J. M., “QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments”, PLOS ONE, vol. 13, no. 10, p. e0205844, 2018.

2017

S. S. Kalantre, Zwolak, J. P., Ragole, S., Wu, X., Zimmerman, N. M., Stewart, M. D., and Taylor, J. M., “Machine Learning techniques for state recognition and auto-tuning in quantum dots”, 2017.
S. Ragole, Xu, H., Lawall, J., and Taylor, J. M., “Thermodynamic limits for optomechanical systems with conservative potentials”, Physical Review B, vol. 96, no. 18, p. 184106, 2017.

2016

S. Ragole and Taylor, J. M., “Interacting atomic interferometry for rotation sensing approaching the Heisenberg Limit”, Physical Review Letters, vol. 117, no. 20, p. 203002, 2016.

2015

H. Xu, Kemiktarak, U., Fan, J., Ragole, S., Lawall, J., and Taylor, J. M., “Observation of optomechanical buckling phase transitions”, 2015.