Politecnico di Torino

Toward Explaining Large Language Models in Software Engineering Tasks

Recent progress in Large Language Models (LLMs) has substantially advanced the automation of software engineering (SE) tasks, enabling complex activities such as code generation and code summarization. However, the black-box nature of LLMs remains a major barrier to their adoptio...

Assessing the Climate and Habitability of Tidally Locked Rocky Exoplanets

Tidally locked exoplanets orbiting M dwarf stars are prime targets in the search for habitable worlds, yet their complex climate dynamics challenge conventional models of habitability. We homogeneously estimated the liquid–water habitability of exoplanets with the highest up-to-d...

Optimisation and Application of Kinetic Piezoelectric Energy Harvesters Aimed at Powering Autonomous Sensors

Piezoelectric energy harvesters, characterised by design simplicity, robustness, high energy density and conversion efficiency, as well as scalability, are a viable choice for transducing ubiquitous kinetic energy in a reliable and stable electrical energy source aimed at powerin...

AETHER: A Novel Scientific Software for Modeling Dust Emissions in Cometary Comae

Abstract Comets are small celestial bodies generally regarded as remnants of planetary formation. Research into their properties yields important insights into the thermal evolution and compositional history of the Solar System. Three key elements can be identified in a comet: th...

The benefits of green roofs for urban water management and thermal regulation: Insights from Catania (Sicily, Italy)

This study provides a comprehensive field-based assessment of the hydrological and thermal performance of three semi-intensive green roof (GR) technologies under Mediterranean climate conditions in Catania (Sicily, Italy). The experimental system, covering approximately 900 m2, w...

Symmetrization maps and minimal border rank Comon’s conjecture

Abstract One of the fundamental open problems in the field of tensors is the border Comon’s conjecture : given a symmetric tensor $$F\in (\mathbb {C}^n)^{\otimes d}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>F</mml:mi> <mml:mo>∈</mml:mo> <mml:m...

Enhancement of UV Protection and Performance of Reactive-Dyed Cotton Fabrics via TiO2 Nanoparticle Pad–Dry–Cure Treatment

The development of multifunctional textiles with enhanced ultraviolet (UV) protection has attracted increasing attention due to the growing demand for protective and high-performance clothing. In this study, cotton fabrics dyed with reactive dyes at three dye concentrations (0.5%...

Enhancing digital wellbeing in education: co-designing classroom solutions with students

In the modern digital era, it is vital to educate young people about maintaining a healthy relationship with technology, as it significantly influences their social interactions and communication. Providing them with the tools to enhance their digital wellbeing is necessary, espe...

Fusion at scale: Critical enablers in global energy transitions

Fusion is a promising sustainable energy source that can potentially contribute to achieving the most ambitious climate goals with firm carbon-free baseload electricity. Due to recent advancements, fusion is transitioning from a purely research stage to a pre-commercialisation ph...

Deep Learning-Based Underwater Mapping of Posidonia Oceanica from Satellite Data for Coastal Habitat Monitoring

Abstract. The POSEIDON project aims to develop scalable and repeatable approaches for monitoring Posidonia Oceanica (PO) meadows, a key Mediterranean habitat that supports coastal ecosystem services and long-term blue-carbon storage, yet they are increasingly threatened by warmin...

Physics-Aware Deep Learning for SAR and InSAR Remote Sensing: Models, Methods, and Open Challenges

SAR and InSAR are fundamental sensing modalities for all-weather, day-and-night Earth observation because they operate independently of solar illumination and retain sensitivity to scene structure under conditions that often limit optical imaging. Recent Deep Learning (DL) method...

Tailored Heat-Treatment Strategies for W360 Tool Steel Produced by Directed Energy Deposition

Laser-directed energy deposition (L-DED) was used to manufacture samples of the newly developed W360 hot-work tool steel from voestalpine Böhler Edelstahl. Various heat-treatment processes, including austenitising followed by air or water-quenching and tempering, as well as direc...

Natural zeolite clinoptilolite for sustainable energy applications: Insights into water affinity and adsorption properties

Recently, natural zeolites have emerged as promising solutions in the renewable energy sector, offering sustainable solutions and finding applications in several areas. Among them, clinoptilolite stands out for its unique physicochemical properties, low cost, and natural abundanc...