Politecnico di Milano

Entropy maximization and weak Gibbsianity of quasi-free fermionic states

Abstract In their 1972 study of approach to equilibrium, Lanford and Robinson showed that gauge-invariant quasi-free states of lattice fermions maximize entropy among all translation-invariant states with a fixed two-point function and suggested that the maximizer is unique. In s...

Numerical proof-of-concept of nanofoam-based targets for proton acceleration and high-energy photon and positron generation in strong fields

A source of high-energy photons, ions, and positrons can be attained with the interaction of ultra-intense femtosecond laser pulses with advanced nanostructured targets. We present and characterise a numerical model that mimics the foam deposition process on solid substrates, as...

Observation of erratic non-Hermitian skin localization and transport

Abstract Localization is a pervasive phenomenon across physics, shaping transport from electrons in solids to light and sound in engineered media. In traditional settings, disorder strongly impedes transport, resulting in dynamical localization or, at best, sub-ballistic or diffu...

The evolution of non-digital platforms: The role of knowledge as an idle asset

Platforms are typically associated with digital infrastructures, algorithmic mediation, and large-scale network effects. Yet many organizations create platform value without relying on digital intermediation, raising the question of how non-digital platforms evolve over time. Thi...

What does a territory tell? Co-constructing heritage through complex social values in inner contexts

Italian inner areas are increasingly affected by depopulation, demographic ageing, and territorial fragmentation. In these contexts, cultural heritage is frequently mobilised as a resource for local development and regeneration. While heritage studies have widely recognised that...

Disentangling damage from operational variability: A label-free self-supervised representation learning framework for output-only structural damage identification

Damage identification is a core task in structural health monitoring. In practice, however, its reliability is often compromised by confounding non-damage effects, such as variations in excitation and environmental conditions, which can induce changes comparable to or larger than...

Institutional change in the civic-institutional relation: outlining enabling conditions

The relationship between civic action and public institutions has long been central to planning debates. Many works have focused on the different relations between civic action and institutions, and on the possibility for both to change through this interaction. With this field o...

From data to decisions: how neural network input structures propagate to air quality policies

In air-quality planning, Artificial Neural Networks (ANNs) have emerged as surrogate models capable of capturing complex nonlinear relationships between emissions and pollutant concentrations with reduced computational time required by chemical and transport models. However, the...

Methodology for the evaluation of low-carbon fuels in power generation gas turbine applications

This paper introduces a novel methodology based on the Theory of Constraints (TOC) to evaluate the adoption potential of alternative fuels in gas turbine power plants. Unlike conventional multi-criteria decision-making approaches, this method identifies the single most critical c...

Occupancy Statistics and Entropy in Bose Systems

In this work, we compare three formulations of thermodynamic entropy for a non-interacting bosonic gas: (i) the grand-canonical Bose–Einstein entropy, (ii) the finite-N canonical entropy obtained from the exact partition function (Ziff, Uhlenbeck, and Kac construction), and (iii)...

Real‐time artificial intelligence‐based anatomy recognition in single‐port transvesical enucleation of the prostate

Objectives To evaluate the feasibility and accuracy of an artificial intelligence (AI) model to assist surgeons through automated real‐time detection and segmentation of key anatomical structures during robot‐assisted single‐port transvesical enucleation of the prostate (STEP). P...

BESS modeling: best available approaches for modeling from measurements

The rapid deployment of lithium-ion Battery Energy Storage Systems (BESS) in modern power systems has increased the need for accurate, computationally efficient, and application-oriented battery models to support design, operation, control, and lifetime management. This paper pre...

Modelling the biomechanics of the human iris with an active strain approach

Abstract The iris is a deformable circular diaphragm that regulates pupil size in response to changes in illumination through the antagonistic actions of sphincter and dilator muscles. While the phenomenological relationship between pupil size and light intensity is well studied,...

Identification and Characterization of an Electric Vehicle’s Operational Regimes Using Sensor Data

The increasing adoption of electric vehicles (EVs) has led to the generation of large-scale multi-domain datasets containing information on battery, thermal, charging, and driving behavior under real-world operating conditions. These datasets provide valuable insights into vehicl...

Mantle heterogeneity drives spreading center dynamics at Arctic Mid-Ocean Ridge

The Mohns and Knipovich mid-ocean ridges in the Arctic Ocean are ideal settings to investigate the dynamics of spreading centers, being the region affected by intricate interplays between oblique plate kinematics and curved plate boundary geometry. Furthermore, significant mantle...

A multi-channel signal-enhanced fractional-order vibrational resonance coupled stochastic resonance array method for early fault detection of rolling bearings

In the field of early fault detection for rolling bearings, stochastic resonance (SR) and vibrational resonance (VR) have been widely adopted as effective nonlinear signal processing tools. Nonetheless, when it comes to enhancing weak fault characteristics, most existing methods...

Integrating Petri net heuristics within MILP for optimizing energy-efficient scheduling of flexible manufacturing systems

Abstract Flexible Manufacturing Systems (FMSs) increasingly need to reconcile flexibility, high productivity and energy efficiency. This paper addresses the energy-efficient scheduling of routing-flexible FMSs with multiple job instances, shared machines and route-level Work-in-P...

Benchmarking and assessment of image-based methods for particulate matter estimation: The AQpictures project

Abstract. Fine particulate matter (PM2.5) is a major air-quality and public-health concern, while conventional monitoring networks remain limited in coverage and costly to deploy and maintain. This work presents the AQpictures project, which investigates alternative low-cost moni...

Diels-Alder polyurethanes for reversible-by-design adhesives and coatings

Adhesively bonded joints with debonding-on-demand characteristics are required to combine high mechanical response with improved durability and sustainable end-of-life management. In this work, a novel polyurethane system based on Diels-Alder (DA) chemistry is proposed as a reusa...

Panoramic Near-Infrared Imaging Device for Peripheral Vascular Mapping

Longitudinal mapping of the superficial peripheral vascular network is clinically relevant for conditions such as venous insufficiency, superficial venous thrombosis, and localized hemorrhagic injury; yet existing modalities are either operator-dependent, costly, or unable to pro...