activity
20232026
most citedReal-time topology optimization via learnable mappings

16 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2026

Cognitive behavior emerging in mechanical systems through reservoir encoding and active inference

Matteo Torzoni, Domenico Maisto, Andrea Manzoni +3

Mechanical systems are traditionally designed as passive assets, where sensing, analysis, and control are treated as decoupled and externally prescribed processes. Reliance on pred…

cs.CE2026

Multi-Agent Digital Twins for Strategic Decision-Making using Active Inference

Francesco Maria Mancinelli, Matteo Torzoni, Domenico Maisto +4

Active Inference is an emerging framework providing a quantitative account of behavioral processes in neuroscience and a principled approach to decision-making under uncertainty. I…

cs.CE2025★ 2 cited

Active Digital Twins via Active Inference

Matteo Torzoni, Domenico Maisto, Andrea Manzoni +3

Digital twins are transforming engineering and applied sciences by enabling real-time monitoring, simulation, and predictive analysis of physical systems and processes. However, co…

cs.CE2024★ 3 cited

Mastering truss structure optimization with tree search

Gabriel Garayalde, Luca Rosafalco, Matteo Torzoni +1

This study investigates the combined use of generative grammar rules and Monte Carlo Tree Search (MCTS) for optimizing truss structures. Our approach accommodates intermediate cons…

cs.CE2023★ 16 cited

Real-time topology optimization via learnable mappings

Gabriel Garayalde, Matteo Torzoni, Matteo Bruggi +1

In traditional topology optimization, the computing time required to iteratively update the material distribution within a design domain strongly depends on the complexity or size…