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