Emerging topics in nanophononics and elastic, acoustic, and mechanical metamaterials: an overview
This broad review summarizes recent advances and “hot” research topics in nanophononics
and elastic, acoustic, and mechanical metamaterials based on results presented by the …
and elastic, acoustic, and mechanical metamaterials based on results presented by the …
Multi-fidelity reduced-order surrogate modelling
High-fidelity numerical simulations of partial differential equations (PDEs) given a restricted
computational budget can significantly limit the number of parameter configurations …
computational budget can significantly limit the number of parameter configurations …
Design of arbitrarily shaped acoustic cloaks through partial differential equation-constrained optimization satisfying sonic-metamaterial design requirements
S Cominelli, DE Quadrelli… - Proceedings of the …, 2022 - royalsocietypublishing.org
We develop an optimization framework for the design of acoustic cloaks, with the aim of
overcoming the limitations of usual transformation-based cloaks in terms of microstructure …
overcoming the limitations of usual transformation-based cloaks in terms of microstructure …
An optimal control strategy to design passive thermal cloaks of arbitrary shape
R Saporiti, C Sinigaglia… - Proceedings of the …, 2024 - royalsocietypublishing.org
In this paper, we describe a numerical framework for achieving passive thermal cloaking of
arbitrary shapes in both static and transient regimes. The design strategy is cast as the …
arbitrary shapes in both static and transient regimes. The design strategy is cast as the …
Active exterior cloaking for the two-dimensional Helmholtz equation with complex wavenumbers and application to thermal cloaking
M Cassier, T DeGiovanni… - … of the Royal …, 2022 - royalsocietypublishing.org
We design sources for the two-dimensional Helmholtz equation that can cloak an object by
cancelling out the incident field in a region, without the sources completely surrounding the …
cancelling out the incident field in a region, without the sources completely surrounding the …
Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models
M Tomasetto, A Manzoni, F Braghin - arXiv preprint arXiv:2409.05709, 2024 - arxiv.org
Steering a system towards a desired target in a very short amount of time is challenging from
a computational standpoint. Indeed, the intrinsically iterative nature of optimal control …
a computational standpoint. Indeed, the intrinsically iterative nature of optimal control …
Robust optimal density control of robotic swarms
C Sinigaglia, A Manzoni, F Braghin… - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, we propose a computationally efficient, robust density control strategy for the
mean-field model of a robotic swarm. We formulate a static optimal control problem (OCP) …
mean-field model of a robotic swarm. We formulate a static optimal control problem (OCP) …
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models
M Tomasetto, F Braghin, A Manzoni - arXiv preprint arXiv:2412.09942, 2024 - arxiv.org
Continuous monitoring and real-time control of high-dimensional distributed systems are
often crucial in applications to ensure a desired physical behavior, without degrading …
often crucial in applications to ensure a desired physical behavior, without degrading …
[HTML][HTML] Topology optimization of a thermal cloak in the frequency domain
Designing wideband thermal cloaks remains a challenge, especially at high frequencies.
We propose an optimization approach for the design of a thermal cloak for an arbitrary …
We propose an optimization approach for the design of a thermal cloak for an arbitrary …
AAROC: Reduced Over-Collocation Method with Adaptive Time Partitioning and Adaptive Enrichment for Parametric Time-Dependent Equations
Nonlinear and nonaffine terms in parametric partial differential equations can potentially
lead to a computational cost of a reduced order model (ROM) that is comparable to the cost …
lead to a computational cost of a reduced order model (ROM) that is comparable to the cost …