15 citations · 31 across the 3 of their papers we have counts for
3 papers
Decomposing heterogeneous dynamical systems with graph neural networks
Cédric Allier, Magdalena C. Schneider, Michael Innerberger +3
Natural physical, chemical, and biological dynamical systems are often complex, with heterogeneous components interacting in diverse ways. We show how simple graph neural networks…
Enhancement of impact ionization in Hubbard clusters by disorder and next-nearest-neighbor hopping
Anna Kauch, Paul Worm, Paul Prauhart +3
We perform time-resolved exact diagonalization of the Hubbard model with time dependent hoppings on small clusters of up to sites. Here, the time dependence originates from a…
Electron-light interaction in nonequilibrium -- exact diagonalization for time dependent Hubbard Hamiltonians
Michael Innerberger, Paul Worm, Paul Prauhart +1
We present a straightforward implementation scheme for solving the time dependent Schrödinger equation for systems described by the Hubbard Hamiltonian with time dependent hoppings…