82 citations · 231 across the 49 of their papers we have counts for
3 papers · 1 filter
Efficient high-dimensional variational data assimilation with machine-learned reduced-order models
Romit Maulik, Vishwas Rao, Jiali Wang +6
Data assimilation (DA) in the geophysical sciences remains the cornerstone of robust forecasts from numerical models. Indeed, DA plays a crucial role in the quality of numerical we…
Efficient training of artificial neural network surrogates for a collisional-radiative model through adaptive parameter space sampling
Nathan A. Garland, Romit Maulik, Qi Tang +2
Reliable plasma transport modeling for magnetic confinement fusion depends on accurately resolving the ion charge state distribution and radiative power losses of the plasma. These…
AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging
Yudong Yao, Henry Chan, Subramanian Sankaranarayanan +3
The problem of phase retrieval, or the algorithmic recovery of lost phase information from measured intensity alone, underlies various imaging methods from astronomy to nanoscale i…