Learning Green's functions of partial differential equations with deep learning.
User interface to perform quantum transport calculations with non equilibrium Green's functions
FBD: Multi-channel blind deconvolution with focusing constraints
Efficient methods for computing Quasi-Periodic Green Functions for the 2D Helmholtz equation
PyTorch library for full counting statistics, NEGF transport, counting-field derivatives, and lattice quantum transport calculations
Feynman diagrams from functional derivatives: a Mathematica package for perturbation theory, effective actions (Luttinger-Ward, parquet, Hedin, GW), Matsubara sums, dimensional regularization and one-loop QED
Uncertainty quantification in earthquake source inversions (HPC ready)
User documentation, binary releases, and FK performance comparisons for SeismicX GRTM.
Torch based framework for PDE solving with Green's functions
Profile of Real-Space DFT Developments at Jülich Supercomputing Centre
Technical physics project on the Josephson effect by solving the Usadel equations.
Decimation of the Green function in graphene nanoribbons
Fractional BVPs: Green functions, positive solutions, omitted ray fixed point theorem, Python code and figures.
Reproducible angular-spectrum and Green-matrix numerics for extremal Kerr-Newman perturbations
A testing toolkit for analytic continuation methods and codes
Exact rational DPP algorithms for grounded-path Green kernels
SVM kernels as quantum propagators
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