179 citations · 1.6k across the 46 of their papers we have counts for
8 papers · 1 filter
Markov-bridge generation of transition paths and its application to cell-fate choice
Guillaume Le Treut, Sarah Ancheta, Greg Huber +2
We present a method to sample Markov-chain trajectories constrained to both the initial and final conditions, which we term Markov bridges. The trajectories are conditioned to end…
Thermal buckling and symmetry breaking in thin ribbons under compression
Paul Z. Hanakata, Sourav S. Bhabesh, Mark J. Bowick +2
Understanding thin sheets, ranging from the macro to the nanoscale, can allow control of mechanical properties such as deformability. Out-of-plane buckling due to in-plane compress…
Scaling study of diffusion in dynamic crowded spaces
H. Bendekgey, G. Huber, D. Yllanes
We formulate a scaling theory for the long-time diffusive motion in a space occluded by a high density of moving obstacles in dimensions 1, 2 and 3. Our tracers diffuse anomalously…
Scaling law describes the spin-glass response in theory, experiments and simulations
Q. Zhai, I. Paga, M. Baity-Jesi +24
The correlation length , a key quantity in glassy dynamics, can now be precisely measured for spin glasses both in experiments and in simulations. However, known analysis method…
How many dissenters does it take to disorder a flock?
D. Yllanes, M. Leoni, M. C. Marchetti
We consider the effect of introducing a small number of non-aligning agents in a well-formed flock. To this end, we modify a minimal model of active Brownian particles with purely…
Tethered Monte Carlo: Managing rugged free-energy landscapes with a Helmholtz-potential formalism
V. Martin-Mayor, B. Seoane, D. Yllanes
Tethering methods allow us to perform Monte Carlo simulations in ensembles with conserved quantities. Specifically, one couples a reservoir to the physical magnitude of interest, a…
A cluster Monte Carlo algorithm with a conserved order parameter
Victor Martin-Mayor, David Yllanes
We propose a cluster simulation algorithm for statistical ensembles with fixed order parameter. We use the tethered ensemble, which features Helmholtz's effective potential rather…
Tethered Monte Carlo: computing the effective potential without critical slowing down
L. A. Fernandez, V. Martin-Mayor, D. Yllanes
We present Tethered Monte Carlo, a simple, general purpose method of computing the effective potential of the order parameter (Helmholtz free energy). This formalism is based on a…