activity
20222025
most citedOn the data-driven description of lattice materials mechanics

11 citations · 12 across the 8 of their papers we have counts for

collaborators

8 papers

math.NA2025

General form of the Gauss-Seidel equation to linearly approximate the Moore-Penrose pseudoinverse in random non-square systems and high order tensors

Luis Saucedo-Mora, Luis Irastorza-Valera

The Gauss-Seidel method has been used for more than 100 years as the standard method for the solution of linear systems of equations under certain restrictions. This method, as wel…

math.OC2025

Mechanostat-type effective density correction for Carter-Hayes growth applied to topology optimization and its efficient interpolation for a target strain energy and volume fraction

Luis Irastorza-Valera, Ricardo Larraínzar-Garijo, Javier Montoya-Adárraga +1

The need for optimized structures with good mechanical performance for the minimum weight is common in industry. Solid Isotropic Material with Penalization (SIMP) is a Topology Opt…

physics.comp-ph2025

Probabilistic combination of loads in topology optimization designs via cumulative damage criteria

Luis Irastorza-Valera, Luis Saucedo-Mora

Topology optimization (TO) is a well-established methodology for structural design under user-defined constraints, e.g. minimum volume and maximum stiffness. However, such methods…

physics.optics2024★ 1 cited

Soliton Frequency Combs in Elastomer Membrane-Cavity Optomechanics

Sasan Rahmanian, Hamza Mouharrar, Amin Alibakhshi +4

Solitons, arising from nonlinear wave-matter interactions, stand out for their intrinsic stability during wave propagation and exceptional spectral characteristics. Their applicati…

cond-mat.mtrl-sci2023

Multi-scale energy homogenization for 3D printed microstructures with a Diritchlet boundary condition relaxation under plastic deformation

Antonio Tabanera, Luis Saucedo-Mora, Miguel Angel Sanz +1

The present work is a proof of concept of the capabilities of paralellization in the calculation of metamaterials in a non-linear regime. In this work we subdivided the bulk materi…

math.NA2023★ 11 cited

On the data-driven description of lattice materials mechanics

Ismael Ben-Yelun, Luis Irastorza-Valera, Luis Saucedo-Mora +2

In the emerging field of mechanical metamaterials, using periodic lattice structures as a primary ingredient is relatively frequent. However, the choice of aperiodic lattices in th…

math.NA2023

An elastic properties-based topology optimization algorithm for linear orthotropic, functionally graded materials

Ismael Ben-Yelun, Víctor Riera, Luis Saucedo-Mora +2

Topology optimization (TO) has experienced a dramatic development over the last decades aided by the arising of metamaterials and additive manufacturing (AM) techniques, and it is…

cs.LG2022

Self-learning locally-optimal hypertuning using maximum entropy, and comparison of machine learning approaches for estimating fatigue life in composite materials

Ismael Ben-Yelun, Miguel Diaz-Lago, Luis Saucedo-Mora +3

Applications of Structural Health Monitoring (SHM) combined with Machine Learning (ML) techniques enhance real-time performance tracking and increase structural integrity awareness…