147 citations · 706 across the 20 of their papers we have counts for
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Monte Carlo sampling for stochastic weight functions
Daan Frenkel, K. Julian Schrenk, Stefano Martiniani
Conventional Monte Carlo simulations are stochastic in the sense that the acceptance of a trial move is decided by comparing a computed acceptance probability with a random number,…
Numerical test of the Edwards conjecture shows that all packings are equally probable at jamming
Stefano Martiniani, K. Julian Schrenk, Kabir Ramola +2
In the late 1980s, Sam Edwards proposed a possible statistical-mechanical framework to describe the properties of disordered granular materials. A key assumption underlying the the…
Structural analysis of high-dimensional basins of attraction
Stefano Martiniani, K. Julian Schrenk, Jacob D. Stevenson +2
We propose an efficient Monte Carlo method for the computation of the volumes of high-dimensional bodies with arbitrary shape. We start with a region of known volume within the int…
Critical fragmentation properties of random drilling: How many random holes need to be drilled to collapse a wooden cube?
K. J. Schrenk, M. R. Hilário, V. Sidoravicius +4
A solid wooden cube fragments into pieces as we sequentially drill holes through it randomly. This seemingly straightforward observation encompasses deep and nontrivial geometrical…