33 citations · 73 across the 9 of their papers we have counts for
9 papers
Confusion-driven machine learning of structural phases of a flexible, magnetic Stockmayer polymer
Dilina Perera, Samuel McAllister, Joan Josep Cerdà +1
We use a semi-supervised, neural-network based machine learning technique, the confusion method, to investigate structural transitions in magnetic polymers, which we model as chain…
Dynamic response of a ferromagnetic nanofilament under rotating fields: effects of flexibility, thermal fluctuations and hydrodynamics
Pedro A. Sánchez, Antonio Cerrato, Joan J. Cerdà +3
Using nonequilibrium computer simulations, we study the response of ferromagnetic nanofilaments, consisting of stabilized onedimensional chains of ferromagnetic nanoparticles, unde…
Light Cones in Classical Dipole-Dipole Interacting Systems
Josep Batle, Joan J. Cerdà, Ph. Depondt +1
The speed at which the magnetic interaction propagates along a chain of classic dipoles is discussed here. While in the quantum information counterpart for long-range interacting s…
Adsorption transition of a grafted ferromagnetic filament controlled by external magnetic fields
Pedro A. Sánchez, Ekaterina V. Novak, Elena S. Pyanzina +3
Extensive Langevin dynamics simulations are used to characterize the adsorption transition of a flexible magnetic filament grafted onto an attractive planar surface. Our results id…
Periodic Spectral Ergodicity: A Complexity Measure for Deep Neural Networks and Neural Architecture Search
Mehmet Süzen, J. J. Cerdà, Cornelius Weber
Establishing associations between the structure and the generalisation ability of deep neural networks (DNNs) is a challenging task in modern machine learning. Producing solutions…
Suspensions of supracolloidal magnetic polymers: self-assembly properties from computer simulations
E. V. Novak, E. S. Pyanzina, D. A. Rozhkov +5
We study self-assembly in suspensions of supracolloidal polymer-like structures made of crosslinked magnetic particles. Inspired by self-assembly motifs observed for dipolar hard s…