53 citations · 66 across the 11 of their papers we have counts for
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Electronic Density versus Geometry for Machine-Learned Molecular Absorption Spectra
Siddharth Dhanpal, Peter Elliott, Paolo Emilio Trevisanutto +2
Molecular optical absorption spectroscopy provides a direct probe of electronic structure and is widely used for molecular identification, interpretation of photophysical behaviour…
Physics-Informed Graph-Neural Decoding of the Surface Code: the Logical Signal as an Exact Topological Pairing
P. E. Trevisanutto, S. Dhanpal, S. Basak +2
We develop a physics-informed graph neural network (GNN) decoder for the surface code that solves a discrete Poisson equation on the syndrome graph, with the syndrome as the charge…
Period spacings and global seismic parameters for K2 red giants using deep learning
Nipun Ghanghas, Siddharth Dhanpal, Shravan Hanasoge +2
Gravity-mode period spacings (DPi_1) of red giants probe the stellar core directly, constraining its structure, mass and evolutionary state. Their measurement requires resolving na…
Potential of Gaia XP Spectra in Red Giant Star Asteroseismology: A Deep-Learning Approach
Rajarshi Barman, Shatanik Bhattacharya, Shravan M. Hanasoge +1
Red giants are tracers of stellar evolution & Galactic structure & their asteroseismic properties, particularly large frequency separation, frequency of maximum oscillation power &…