Learning Green's functions of partial differential equations with deep learning.
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Updated
Jan 8, 2024 - Python
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
Uncertainty quantification in earthquake source inversions (HPC ready)
Torch based framework for PDE solving with Green's functions
Profile of Real-Space DFT Developments at Jülich Supercomputing Centre
Decimation of the Green function in graphene nanoribbons
Technical physics project on the Josephson effect by solving the Usadel equations.
Fractional BVPs: Green functions, positive solutions, omitted ray fixed point theorem, Python code and figures.
A testing toolkit for analytic continuation methods and codes
Reproducible angular-spectrum and Green-matrix numerics for extremal Kerr-Newman perturbations
SVM kernels as quantum propagators
User documentation, binary releases, and FK performance comparisons for SeismicX GRTM.
Exact rational DPP algorithms for grounded-path Green kernels
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