activity
20192023
most citedExperimental investigation of amplification, via a mechanical delay-line, in a rainbow-based metasurface for energy harvesting

80 citations · 204 across the 8 of their papers we have counts for

collaborators

9 papers

physics.app-ph2023

Phononic graded meta-MEMS for elastic wave amplification and filtering

Federico Maspero, Jacopo Maria De Ponti, Luca Iorio +5

Inspired by recent graded metamaterials designs, we create phononic arrays of micro-resonators for frequency signal amplification and wave filtering. Leveraging suspended waveguide…

physics.class-ph2023

Bandgap widening and resonating mass reduction through wave locking

Luca Iorio, Jacopo M. De Ponti, Alberto Corigliano +1

Elastic metamaterials made from locally resonant arrays have been developed as effective ways to create band gaps for elastic or acoustic travelling waves. They work by implementin…

physics.app-ph2022★ 24 cited

Optimised graded metamaterials for mechanical energy confinement and amplification via reinforcement learning

Luca Rosafalco, Jacopo Maria De Ponti, Luca Iorio +2

A reinforcement learning approach to design optimised graded metamaterials for mechanical energy confinement and amplification is described. Through the proximal policy optimisatio…

physics.class-ph2022★ 21 cited

Tailored Topological Edge Waves via Chiral Hierarchical Metamaterials

Jacopo M. De Ponti, Luca Iorio, Gregory J. Chaplain +3

Precise manipulation of the direction and re-direction of vibrational wave energy is a key demand in wave physics and engineering. We consider the paradigm of a finite frame-like s…

physics.class-ph2021★ 77 cited

Selective mode conversion and rainbow trapping via graded elastic waveguides

Jacopo M. De Ponti, Luca Iorio, Emanuele Riva +3

We experimentally achieve wave mode conversion and rainbow trapping in an elastic waveguide loaded with an array of resonators. Rainbow trapping is a phenomenon that induces wave c…

cs.LG2021

Online structural health monitoring by model order reduction and deep learning algorithms

Luca Rosafalco, Matteo Torzoni, Andrea Manzoni +2

Within a structural health monitoring (SHM) framework, we propose a simulation-based classification strategy to move towards online damage localization. The procedure combines para…

physics.app-ph2020★ 80 cited

Experimental investigation of amplification, via a mechanical delay-line, in a rainbow-based metasurface for energy harvesting

Jacopo M. De Ponti, Andrea Colombi, Emanuele Riva +4

We demonstrate that a rainbow-based metasurface, created by a graded array of resonant rods attached to an elastic beam, operates as a mechanical delay-line by slowing down surface…

cs.LG2020

Fully convolutional networks for structural health monitoring through multivariate time series classification

Luca Rosafalco, Andrea Manzoni, Stefano Mariani +1

We propose a novel approach to Structural Health Monitoring (SHM), aiming at the automatic identification of damage-sensitive features from data acquired through pervasive sensor s…

physics.class-ph2019★ 2 cited

Graded metasurface for enhanced sensing and energy harvesting

Jacopo M. De Ponti, Andrea Colombi, Raffaele Ardito +3

In elastic wave systems, combining the powerful concepts of resonance and spatial grading within structured surface arrays enable resonant metasurfaces to exhibit broadband wave fo…