3 papers
cond-mat.dis-nn2020
Use of Machine Learning for unraveling hidden correlations between Particle Size Distributions and the Mechanical Behavior of Granular Materials
Ignacio G. Tejada, Pablo Antolin
A data-driven framework was used to predict the macroscopic mechanical behavior of dense packings of polydisperse granular materials. The Discrete Element Method, DEM, was used to…
cond-mat.soft2018
Boussinesq-like problems in discrete media
Ignacio G. Tejada
Vertical loads acting on the surface of a half-space made of discrete and elastic particles are supported by a network of force chains that changes with the specific realization of…
cond-mat.mtrl-sci2015
Coupling a reactive potential with a harmonic approximation for atomistic simulations of material failure
Ignacio Tejada, Laurent Brochard, Tony Lelievre +3
Molecular dynamics (MD) simulations involving reactive potentials can be used to model material failure. The empirical potentials which are used in such simulations are able to ada…