79 citations · 214 across the 17 of their papers we have counts for
3 papers · 1 filter
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
Extraction of the frequency moments of spectral densities from imaginary-time correlation function data
Tobias Dornheim, Damar C. Wicaksono, Juan E. Suarez-Cardona +5
We introduce an exact framework to compute the positive frequency moments of different dynamic properties from imaginary-time quantum Monte Carlo…
Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces
Juan-Esteban Suarez Cardona, Phil-Alexander Hofmann, Michael Hecht
We introduce a novel spectral, finite-dimensional approximation of general Sobolev spaces in terms of Chebyshev polynomials. Based on this polynomial surrogate model (PSM), we real…