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🔍 mattia scamuzzi 📂 Engineering
Showing 694 results for "mattia scamuzzi" in Engineering
Engineering Preprint PDF DOI

Design Structure Matrix Modularization with Large Language Models

Shuo Jiang, Jianxi Luo · 2026

Design Structure Matrix (DSM) modularization, the task of partitioning system elements into cohesive modules, is a fundamental combinatorial challenge in engineering design. Traditional methods treat …

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Engineering Preprint PDF DOI

A Matrix-Free Galerkin Multigrid Solver and Failure-Mode Screen for Single-GPU 3D SIMP Linear Systems

Shaoliang Yang, Jun Wang, Yunsheng Wang · 2026

Large 3D SIMP studies require repeated elasticity solves for density-dependent operators whose finest matrices are expensive to assemble and whose conditioning degrades under high contrast. We study t…

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Engineering Preprint PDF DOI

Mass Matrix Assembly on Tensor Cores for Implicit Particle-In-Cell Methods

Luca Pennati, Stefano Markidis · 2026

Matrix-multiply-accumulate (MMA) units, or tensor cores, are now widespread across modern computing architectures. Yet, their use for particle-grid operators remains limited. In implicit particle meth…

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Engineering Preprint PDF DOI

Hybrid SMI Realization via Matrix Completion and Riemannian Manifold Optimization on Narrowband Sub-Array Based Architectures

Tarun Suman Cousik, Rohit Rangaraj, Nishith Tripathi, Jeffrey H Reed, Daniel Jakubisin, Jon Kraft · 2026

Hybrid beamforming architectures reduce hardware complexity but restrict access to full array observations, rendering direct implementation of classical covariance based methods such as minimum varian…

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Engineering Preprint PDF DOI

Matrix-Free 3D SIMP Topology Optimization with Fused Gather-GEMM-Scatter Kernels

Shaoliang Yang, Jun Wang, Yunsheng Wang · 2026

The matrix-free gather-batched-GEMM-scatter pattern eliminates global stiffness assembly for three-dimensional SIMP topology optimization, but the conventional three-stage implementation forces avoida…

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Engineering Preprint PDF DOI

Watching Physics: the Generative Science of Matter and Motion

Hagen Holthusen, Kevin Linka, Ellen Kuhl · 2026

Can we learn the physics of matter in motion directly from images and video--and trust it? Answering this question requires integrating experiments, physics-based simulation, and data across tradition…

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Engineering Preprint PDF DOI

A Common Lyapunov Matrix Approach to the Exponential Stability of Augmented Primal-Dual Gradient Flow as LPV Systems

Mengmou Li, Lijun Zhu, Masaaki Nagahara · 2026

We show that a common Lyapunov matrix exists for the convex combination of two Hurwitz matrices if and only if the intersection of the set of strict Lyapunov matrices for one matrix and the set of non…

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Engineering Preprint PDF DOI

Data-Driven Reachability Analysis Using Matrix Perturbation Theory

Peng Xie, Abdulla Fawzy, Zhen Zhang, Amr Alanwar · 2026

We propose a matrix zonotope perturbation framework that leverages matrix perturbation theory to characterize how noise-induced distortions alter the dynamics within sets of models. The framework deri…

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Engineering Preprint PDF DOI

Improved Implementation of Approximate Full Mass Matrix Inverse Methods into Material Point Method Simulations

John A. Nairn · 2026

Approximate full mass matrix methods for the material point method, known as FMPM(k) of order k, can improve the calculation of grid velocities from grid momentum. It can be implemented in any MPM cod…

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Engineering Preprint PDF DOI

Interference Suppression for Massive MU-MIMO Long-Term Beamforming with Matrix Inversion Approximation

Amirreza Kiani, Ali Rasteh, Marco Mezzavilla, Sundeep Rangan · 2026

Long-term beamforming (LTBF) is a widely-used scalable alternative to instantaneous multi-user MIMO processing that leverages slowly varying spatial channel statistics. VLSI implementations require ma…

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Engineering Preprint PDF DOI

Bridging Data-Driven Reachability Analysis and Statistical Estimation via Constrained Matrix Convex Generators

Peng Xie, Zhen Zhang, Rolf Findeisen, Amr Alanwar · 2026

Data-driven reachability analysis enables safety verification when first-principles models are unavailable. This requires constructing sets of system models consistent with measured trajectories and n…

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Engineering Preprint PDF DOI

Pickalo: Leveraging 6D Pose Estimation for Low-Cost Industrial Bin Picking

Alessandro Tarsi, Matteo Mastrogiuseppe, Saverio Taliani, Simone Cortinovis, Ugo Pattacini · 2026

Bin picking in real industrial environments remains challenging due to severe clutter, occlusions, and the high cost of traditional 3D sensing setups. We present Pickalo, a modular 6D pose-based bin-p…

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Engineering Preprint PDF DOI

Input Matrix Optimization for Desired Reachable Set Warping of Linear Systems

Hrishav Das, Melkior Ornik · 2026

Shaping the reachable set of a dynamical system is a fundamental challenge in control design, with direct implications for both performance and safety. This paper considers the problem of selecting th…

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Engineering Preprint PDF DOI

Generative AI for material design: A mechanics perspective from burgers to matter

Vahidullah Tac, Ellen Kuhl · 2026

Generative artificial intelligence offers a new paradigm to design matter in high-dimensional spaces. However, its underlying mechanisms remain difficult to interpret and limit adoption in computation…

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Engineering Preprint PDF DOI

Joint Training Scattering Matrix Learning and Channel Estimation for Beyond-Diagonal Reconfigurable Intelligent Surfaces

Yiyang Peng, Binggui Zhou, Yutong Zheng, Danilo Mandic, Bruno Clerckx · 2026

Beyond-diagonal reconfigurable intelligent surface (BD-RIS) generalizes the conventional diagonal RIS (D-RIS) by introducing tunable inter-element connections, offering enhanced wave manipulation capa…

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Engineering Preprint PDF DOI

Secure Two-Party Matrix Multiplication from Lattices and Its Application to Encrypted Control

Kaoru Teranishi · 2026

In this study, we propose a two-party computation protocol for approximate matrix multiplication of fixed-point numbers. The proposed protocol is provably secure under standard lattice-based cryptogra…

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Engineering Preprint PDF DOI

Make Tracking Easy: Neural Motion Retargeting for Humanoid Whole-body Control

Qingrui Zhao, Kaiyue Yang, Xiyu Wang, Shiqi Zhao, Yi Lu, Xinfang Zhang, Qiu Shen, Xiao-Xiao Long, Xun Cao · 2026

Humanoid robots require diverse motor skills to integrate into complex environments, but bridging the kinematic and dynamic embodiment gap from human data remains a major bottleneck. We demonstrate th…

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Engineering Preprint PDF DOI

Data-Driven Robust Predictive Control with Interval Matrix Uncertainty Propagation

Renato Quartullo, Andrea Garulli, Mirko Leomanni · 2026

This paper presents a new data-driven robust predictive control law, for linear systems affected by unknown-but-bounded process disturbances. A sequence of input-state data is used to construct a suit…

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Engineering Preprint PDF DOI

Non-trivial consensus on directed signed matrix-weighted networks with compound measurement noises and time-varying topologies

Tianmu Niu, Xiaoqun Wu · 2026

This paper studies non-trivial consensus--a relatively novel and unexplored convergence behavior--on directed signed matrix-weighted networks subject to both additive and multiplicative measurement no…

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Engineering Preprint PDF DOI

MamTra: A Hybrid Mamba-Transformer Backbone for Speech Synthesis

Tan Dat Nguyen, Sangmin Bae, Joon Son Chung, Ji-Hoon Kim · 2026

Despite the remarkable quality of LLM-based text-to-speech systems, their reliance on autoregressive Transformers leads to quadratic computational complexity, which severely limits practical applicati…

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