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Erik Franco – Pagina 3 – Progress in Research

Artificial intelligence for accessibility in historic centres

Using Artificial Intelligence systems to identify, especially in historic city centres, the most accessible routes for elderly people and people with motor disabilities: this is the aim of the research work of Daniele Treccani, a young researcher at the Unesco Research Lab in Mantua of Politecnico di Milano.

The research, published in the International Journal of Applied Earth Observation and Geoinformation, used a mobile mapping system (in this specific case, a car equipped with instrument provided by Leica Geosystems Italia) for surveying and mapping the small town of Sabbioneta, which has been, together with Mantua, a UNESCO World Heritage Site since 2008 and is an emblematic example of a Renaissance village enclosed within historic walls. 

Machine Learning was used to automatically detect the differences between streets and pavements made of pebbles, cobblestones and bricks, with widely varying heights and widths, which on the one hand distinguish and are typical of historical cities and on the other hand make moving difficult for people with motor disabilities. The good reliability rate of the data obtained (89%) was verified on site; this allowed using it for designing a map of the most accessible routes

Starting from the collected data or point clouds, namely millions and millions of points distributed in the surveyed space that allow us to obtain measures and three-dimensional representations of what surrounds us, for instance houses, streets, squares, pavements and various objects, it is possible to identify, with the help of Machine Learning, the most accessible trajectories and paths in a historical urban context. The work on Sabbioneta made it possible to test and demonstrate the importance of AI methods for managing accessibility in historic city centres.

Daniele Treccani, researcher of the Department of Architecture, Built Environment and Construction Engineering

The automatic extraction of geometric and space georeferenced information can be extended to other urban elements and be used for tourism accessibility and navigation applications, as well as for the creation of map bases for Plans for the Elimination of Architectural Barriers (PEBA) or Urban Accessibility Plans. More in general, the data collected and processed can be useful for the construction of City Models and digital models of historic city centres.

Daniele Treccani is currently working on extending his research to data from other urban survey systems, such as UAS (drone) photogrammetry, laser scanner survey systems from aircrafts or with portable systems (backpacks or handheld), and continues his collaboration with the University of Vigo (Spain), with which he carried out part of the research.

Machine Learning (ML) allows a complex neural network attempting to simulate the functioning of the human brain, to “learn” from a large amount of data previously structured by an operator. After the learning phase, it is possible, through a combination of inputs, to recognise and classify objects within the data, automatically and with no human intervention.

Andrea Adami, Professor of Topography and Cartography

Optical wireless may no longer have any obstacles

Optical wireless may no longer have any obstacles. A study by Politecnico di Milano, conductedtogether with Scuola Superiore Sant’Anna in Pisa, the University of Glasgow and Stanford University, and published in the prestigious journal Nature Photonics, has made it possible to create photonic chips that mathematically calculate the optimal shape of light to best pass through any environment, even one that is unknown or changing over time.

The problem is well known: light is sensitive to any form of obstacle, even very small ones. Think, for example, of how we see objects when looking through a frosted window or simply when our glasses get foggy. The effect is quite similar on a beam of light carrying data streams in optical wireless systems: the information, while still present, is completely distorted and extremely difficult to retrieve.  

The devices developed in this research are small silicon chips that serve as smart transceivers: working in pairs, they can automatically and autonomously ‘calculate’ what shape a beam of light needs to be in order to pass through a generic environment with maximum efficiency. Not only that: at the same time they can also generate many overlapping beams, each with its own shape, and direct them without them interfering with each other. This makes it possible to significantly increase transmission capacity, just as required by next-generation wireless systems.  

Our chips are mathematical processors that make calculations on light very quickly and efficiently, almost with no energy consumption. The optical beams are generated through simple algebraic operations, essentially sums and multiplications, performed directly on the light signals and transmitted by micro-antennas directly integrated on the chips. This technology offers many advantages: extremely easy processing, high energy efficiency and an enormous bandwidth exceeding 5000 GHz

Francesco Morichetti, Head of the Photonic Devices Lab

‘Today, all information is digital, but in fact, images, sounds and all data are inherently analogue. Digitisation does allow for very complex processing, but as the volume of data increases, these operations become increasingly less sustainable in terms of energy and computation. Today, there is great interest in returning to analogue technologies, through dedicated circuits (analogue co-processors) that will serve as enablers for the 5G and 6G wireless interconnection systems of the future. Our chips work just like that’, stresses Andrea Melloni, Director of Polifab, Politecnico di Milano’s micro and nanotechnology centre.

The activity is co-funded under the NRRP by the RESTART research and development programme ‘RESearch and innovation on future Telecommunications systems and networks, to make Italy more smart’, in which Prof. Andrea Melloni of Politecnico di Milano and Prof. Piero Castoldi of the TeCIP Institute of the Scuola Superiore Sant’Anna in Pisa are coordinating the HePIC and Rigoletto projects, which aim to build prototypes in integrated photonics and future optical communications networks enabling the 6G infrastructure.


SeyedinNavadeh, S., Milanizadeh, M., Zanetto, F. et al.
Determining the optimal communication channels of arbitrary optical systems using integrated photonic processors.
Nat. Photon. (2023).

Why does the yellow colour in Miró’s paintings deteriorate?

A photo from 1978 shows famous Catalan surrealist painter Juan Miró in his Taller Sert, surrounded by his paintings. In the background, the bright, intense yellow of Femme dans le rue (1973), stands out. Fifty years later, that cadmium-based yellow is faded and chalky. The same phenomenon has affected 25 other paintings in the Fundació Miró Mallorca.

The degraded yellow paint used by Mirò is made from cadmium yellow, a modern pigment composed of cadmium sulfide and introduced in the late 19th century. The pigment was used extensively by artists such as Vincent Van Gogh, Pablo Picasso and Henri Matisse. As discovered in recent years, however, this pigment can become unstable, leading to a deterioration of the paint, as in the case of important artworks such as Edward Munch’s The Scream.

The research conducted so far has provided an understanding of the degradation process, but has not completely clarified the latter’s triggering factors. Furthermore, degradation is more evident in paintings dated between the end of the 19th and the beginning of the 20th century, at a time when the methods for synthesising cadmium yellow pigment had not yet been perfected, while Miró’s works were painted in the 1970s, i.e. in a much later period.

The Fundació Miró Mallorca collection therefore represents a unique case study for understanding the deterioration of this particular paint at a later stage in the history of cadmium yellow pigment production. To shed light on the issue, the restorer Mar Gomez Lobon assembled an international team including Italian scientists Daniela Comelli and Marta Ghirardello from the Politecnico di Milano and Francesca Caterina Izzo from Ca’ Foscari University of Venice.

The researchers analysed nine samples taken from the artist’s paintings, paint tubes, and palettes, and used a multi-analytical approach: electron microscopy, X-ray fluorescence at the Grenoble synchrotron, infrared spectroscopy, micro photoluminescence and chromatographic analysis.

The paint’s chemical composition and the crystalline structure of the pigments are the clues that lead the research team to argue that the degraded cadmium yellow came from paint tubes produced by the French brand Lucien Lefebvre-Foinet, a favourite of Miró’s.

Its low crystallinity exposes the pigment to high photo-chemical reactivity. This is one of the main causes of the paint’s vulnerability and can be traced back to the method by which the pigment was synthesised. Such method is, however, unknown, and no historical sources have yet been found,

Daniela Comelli from the Department of Physics

In addition, storage and environmental conditions strongly contributed to the material’s chemical and physical transformation. Samples with the same chemical composition show different levels of degradation, and the best-preserved colour comes from a palette that had remained locked in a drawer for 32 years, protected from light and changes in humidity.

The research was published in the scientific journal Heritage Science. The work of the team will continue with research on other colours of the Lucien Lefebvre-Foinet brand and on paintings containing cadmium yellow that were stored in similar conditions but do not show the same signs of decay.

Studying catalytic mechanisms from an atomistic point of view

A study conducted by the Department of Energy‘s ‘Laboratory of Catalysis and Catalytic Processes (LCCP)’ group at Politecnico di Milano has been selected as the front cover of the journal ChemCatChem. The article highlights the importance of describing the complex catalytic phenomena involved in pollutant (NOx) abatement reactions from a molecular point of view.

For the first time ever, this study offers a theoretical understanding of the role of water in the NH3-SCR process: this is technologically relevant in the field of pollutant abatement because H2O is abundantly present as a reaction product.

Enrico Tronconi, co-author of the study

The study shows that the presence of water in the reduction loop of the NH3-SCR redox mechanism changes the reaction environment at the molecular level. On the one hand, the addition of water in the system leads to a lowering of the activation energy of the reaction due to kinetically relevant enthalpy stabilisation effects of the transition state. On the other hand, the reduced mobility of the transition state leads to entropic penalties that lower the reaction speed.

Our research explores the engineering significance of an atomistic study of catalytic mechanisms, providing a detailed description of the elementary steps and molecular identities involved in reactions. These tools, in synergy with experimental work, play a major role in the optimisation and development of catalytic processes.

Matteo Maestri, co-author of the study

Improving sustainability and safety of critical infrastructures with AI

Using Artificial Intelligence (AI) to support decision-making, and increasing efficiency and safety in the operation of critical infrastructures. This is the aim of the European project AI4REALNET – AI for REAL-World network operation, funded by the European Union with almost 4 million euros, through the Horizon Europe programme, and by the State Secretariat for Education, Research and Innovation (SERI) of Switzerland with 2 million euros.

The project, led by the Portuguese research institute INESC TEC, involves the Department of Electronics, Information and Bioengineering, and the Department of Management, Economics and Industrial Engineering of the Politecnico di Milano, and partners from France, Germany, Netherlands, Swizterland, Sweden and Austria, and promotes the collaboration between Artificial Intelligence and humans. The aim is to ensure that AI emerges as a way to support faster decisions made by human operators, creating conditions for the decarbonisation of the energy and transport sectors.

The project aims at improving the safety and resilience of critical infrastructures, which are becoming more challenging, not only due to the increase in the volume of information, but also due to the changes imposed by decarbonisation. The AI4REALNET consortium

Prof. Marcello Restelli, project coordinator for the Politecnico di Milano

With the involvement of industry, the project will promote awareness of the benefits of reinforcement learning and explainable machine learning. The project will also resort to current open-source AI-friendly digital environments, e.g., Grid2Op, Flatland, and BlueSky to foster and advance a global AI community.

Electric vehicles: towards environmentally sustainable air conditioning

Increasing the autonomy of electric vehicles in winter through advanced thermal energy storage technology that reduces the amount of energy used for air conditioning in the passenger compartment during colder months: this is the main objective of the PRIN project “Air Conditioning of Electric Vehicles by Sorption Thermal Energy Storage technology” (ACE-STES), financed by the Ministry for Universities and Research and led by Politecnico di Milano in collaboration with CNR-ICCOM and the University of Messina.

Currently, it is estimated that up to 50% of the energy stored in electric vehicle batteries is used during winter for passenger compartment air conditioning. ACE-STES aims to develop innovative thermal storage systems using adsorbents. These systems provide a continuous supply of warm, dry air to heat the passenger compartment and prevent window fogging, thus significantly improving the autonomy of vehicles in winter.

With the ACE-STES project, we are forging new pathways in electric vehicle air conditioning, contributing to more sustainable and efficient mobility solutions

Prof. Stefano De Antonellis, lecturer in the Department of Energy at Politecnico di Milano and project coordinator

The system proposed by the ACE-STES project, called TES (Thermal Energy Storage), has already been recognised as the winner of the 2022 edition of Switch2Product — the programme that celebrates innovative solutions, new technologies and business ideas proposed by teams from the Politecnico di Milano ecosystem — and has been the focus of a patent application. 

Towards more sustainable superconductor applications

A significant step forward in superconductivity research has recently been made. The discovery could pave the way for sustainable technologies and contribute to a more environmentally friendly future.

The study just published in Nature Communications by researchers from Politecnico di MilanoChalmers University of Technology in Göteborg and Sapienza Università di Roma sheds light on one of the many mysteries of high-critical-temperature copper-based superconductors. Even at temperatures above the critical temperature, they are special, behaving like “strange” metals. This means that their electrical resistance changes with temperature differently than that of normal metals.

This is the result of more than five years of work. We used a technique, called RIXS, largely developed by us at the Politecnico di Milano. Thanks to numerous measurement campaigns and to new data analysis methods, we were able to prove the existence of the quantum critical point.

Giacomo Ghiringhelli, Professor at the Department of Physics and coordinator of the research

The research hints at the existence of a quantum critical point connected to the phase called “strange metal”. A quantum critical point identifies specific conditions where a material undergoes a sudden change in its properties due solely to quantum effects. Just like ice melts and becomes liquid at zero degrees Celsius due to microscopic temperature effects, cuprates turn into a ‘strange’ metal because of quantum charge fluctuations.

The research is based on X-ray scattering experiments conducted at the European Synchrotron ESRF and at the British synchrotron DLS. They reveal the existence of charge density fluctuations affecting the electrical resistance of cuprates in such a way as to make them “strange”. The systematic measurement of how the energy of these fluctuations varies allowed identifying the value of the charge carrier density at which this energy is minimum: the quantum critical point.

The discovery represents an important advancement in understanding not only the anomalous properties of the metallic state of cuprates, but also the still obscure mechanisms underlying high-temperature superconductivity.

A better understanding of cuprates will guide the design of even better materials, with higher critical temperatures, and therefore easier to exploit in tomorrow’s technologies.

Arpaia, R., Martinelli, L., Sala, M.M. et al.
Signature of quantum criticality in cuprates by charge density fluctuations.
Nat Commun 14, 7198 (2023)

Revolutionizing industrial materials sustainably

An international team, which includes researchers from Politecnico di Milano, Rice University, University of Cambridge, Stanford University, UC Santa Barbara and other U.S. and European universities, has received $4 millions in funding from Kavli Foundation and the Carbon Hub of the Rice University to advance understanding of carbon nanotube synthesis and its potential for producing industrial materials more sustainably.

The research will be focused on the development of alternative materials to steel, aluminum and copper, whose production contributes to over 10% of global greenhouse gas emissions. Carbon nanotube fibers boast strength comparable to steel and conductivity akin to copper. This makes them a promising and sustainable resource for materials needed for the energy transition an the electrification.

Current raw materials for nanotube production, such as natural gas and other hydrocarbons, are largely burned as fuels, also in the field of metal industry. As the world transitions to renewable energy, these abundant resources could be harnessed to produce global quantities of nanotubes, fixing the carbon content in durable and recyclable materials, as opposed to CO2 emission in the atmosphere, with the positive additional consequence of generating clean hydrogen as a valuable by-product.

The group of the Politecnico participating in the project is coordinated by Matteo Maestri, professor at the Department of Energy, and includes Mauro Bracconi (Department of Energy) and Matteo Pelucchi (Department of Chemistry, Materials and Chemical Engineering “Giulio Natta”). The researchers will focus on multiscale modelling and analysis of chemical reactions and reactors.

Support DHC: decarbonising district heating and cooling sector

The actions of the Support DHC project, co-financed by the European Union under the LIFE programme, the EU’s financial instrument for the environment and climate action, have officially started.

The three-year project aims to support the transformation of the District Heating and Cooling (DHC) sector – ie the one related to district heating and cooling technologies – in the coming decades, with the goal of achieving near-total decarbonisation.

The main challenges to be addressed will be investment in infrastructure and components, awareness development and involvement of supply chain actors and the grounding of technologies and initiatives for a concrete and massive use of renewables and waste heat. 

Through the project, tangible support will be offered to operators in planning decarbonisation pathways and developing their investment plans with particular reference to 6 European countries: Austria, Germany, Italy, Lithuania, Poland and Ukraine.

Politecnico di Milano will be the project’s Italian referent and researchers from the Department of Architecture, Built Environment and Construction Engineering (ABC) and the Department of Energy will be involved; the project will therefore be an opportunity for the creation of an interdepartmental working group on a topic that is fundamental for the evolution of the built environment and thermal systems in Italy.

Support DHC is coordinated by WIP – Wirtschaft und Infrastruktur Gmbh & Co Planungs Kg (Germany) and involves the following partners: 

  • AGFW-Projektgesellschaft für Rationalisierung, Information und Standardisierung Mbh (Germany) 
  • AEE Intec – Institut für Nachhaltige Technologien (Austria)
  • e-think – Zentrum für Energiewirtschaft und Umwelt (Austria)
  • Politecnico di Milano (Italy)
  • Euroheat & Power (Belgium)
  • PlanEnergi Fond (Denmark)
  • Högskolan i Halmstad (Sweden)
  • LITHUANIAN DISTRICT HEATING ASSOCIATION (Lithuania)
  • Municipal Institution City Institute (Ukraine)
  • Stowarzyszenie Gmin Polska Sieć ‘Energie Cités’ (Poland)

PYSOLO: process of biomass pyrolysis using concentrated solar power

The Politecnico di Milano coordinates a consortium of nine partners from four European countries, which will work together on the four-year project PYSOLO (PYrolysis of biomass by concentrated SOLar pOwer), funded by the European Commission with approximately 5 million euros, in the framework of the Horizon Europe programme. Researchers from our Department of Energy, led by Prof. Marco Binotti, will be involved in the project.

The aim is to develop an innovative process that combines the concentrated solar radiation and the biomass pyrolysis in order to obtain bio-oil with negative CO2 emissions, contributing to the decarbonization and defossilization of the chemical industry and the transport sector.

The pyrolysis gas and biochar will not be burned to provide heat to the pyrolysis reactor, as happens in the conventional pyrolysis processes, but they will be additional useful products that can be used for both energy and non-energy purposes, such as the synthesis of biofuels for the transport sector and agricultural use (char can be used as fertilizer). A significant innovation in the PYSOLO technology is the ability to operate in different modes, making the process flexible and capable of both producing and absorbing electrical energy from the grid.

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