Loading...

Articoli scientifici

Politiche per la transizione verde

Politiche per la transizione verde di Aurelio Patelli Andrea Roventini Angelica Sbardella Il Mulino, 26 gennaio 2023 L’emergenza climatica potrebbe essere l’ultima opportunità per rilanciare una crescita sostenibile dell'economia italiana. Perché accada, le imprese devono essere affiancate da una nuova stagione di interventi statali.   Le miti temperature che hanno caratterizzato la fine del 2022 ci ricordano che … Continue reading Politiche per la transizione verde

Effect of spatial correlations on Hopfield Neural Network and Dense Associative Memories

Effect of spatial correlations on Hopfield Neural Network and Dense Associative Memories Giordano De Marzo, Giulio Iannelli Physica A: Statistical Mechanics and its Applications, Volume 612, 2023, 128487 https://authors.elsevier.com/a/1gRot1M2-2IKXa Le reti neurali artificiali stanno cambiando profondamente la nostra società grazie alle innumerevoli applicazioni e alla loro capacità di risolvere problemi complessi che prima richiedevano la … Continue reading Effect of spatial correlations on Hopfield Neural Network and Dense Associative Memories

The explosive value of the networks

19 January 2023 The explosive value of the networks Antonio Scala & Marco Delmastro Scientific Reports volume 13, Article number: 1037 (2023) Read the full article Networks have always played a special role for human beings in shaping social relations, forming public opinion, and driving economic equilibria. Nowadays, online networked platforms dominate digital markets and capitalization leaderboards, while social networks drive … Continue reading The explosive value of the networks

Geography of science: Competitiveness and inequality

We characterize the temporal dynamics of Scientific Fitness, as defined by the Economic Fitness and Complexity (EFC) framework, and R&D expenditures at the geographic scale of nations. Our analysis highlights common patterns across similar research systems and shows how developing countries (China in particular) are quickly catching up with the developed world. This paints the … Continue reading Geography of science: Competitiveness and inequality

In-Situ Anaerobic Heating of Human Bones Probed by Neutron Diffraction

The first neutron diffraction study of in-situ anaerobic burning of human bones is reported, aiming at an interpretation of heat-induced changes in bone, which were previously detected by vibrational spectroscopy, including inelastic neutron scattering techniques. Structural and crystallinity variations were monitored in samples of the human femur and tibia, as well as reference hydroxyapatite, upon … Continue reading In-Situ Anaerobic Heating of Human Bones Probed by Neutron Diffraction

Laplacian renormalization group for heterogeneous networks

The renormalization group is the cornerstone of the modern theory of universality and phase transitions and it is a powerful tool to scrutinize symmetries and organizational scales in dynamic systems. However, its application to complex networks has proven particularly challenging, owing to correlations between intertwined scales. To date, existing approaches have been based on hidden … Continue reading Laplacian renormalization group for heterogeneous networks

Multidimensional hyperspin machine

From condensed matter to quantum chromodynamics, multidimensional spins are a fundamental paradigm, with a pivotal role in combinatorial optimization and machine learning. Machines formed by coupled parametric oscillators can simulate spin models, but only for Ising or low-dimensional spins. Currently, machines implementing arbitrary dimensions remain a challenge. Here, we introduce and validate a hyperspin machine … Continue reading Multidimensional hyperspin machine

The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks

Bernaschi, M., Celestini, A., Guarino, S. et al. The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks. Sci Rep 12, 18206 (2022). https://doi.org/10.1038/s41598-022-22798-6   Models of networks play a major role in explaining and reproducing empirically observed patterns. Suitable models can be used to randomize an observed network while preserving some of its features or … Continue reading The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks

Neutron Imaging and Learning Algorithms: New Perspectives in Cultural Heritage Applications

Recently, learning algorithms such as Convolutional Neural Networks have been successfully applied in different stages of data processing from the acquisition to the data analysis in the imaging context. The aim of these algorithms is the dimensionality of data reduction and the computational effort, to find benchmarks and extract features, to improve the resolution, and … Continue reading Neutron Imaging and Learning Algorithms: New Perspectives in Cultural Heritage Applications

Integrated database for economic complexity

In this paper, researchers A. Patelli, L. Pietronero, and A. Zaccaria present an integrated database suitable for the investigation of the economic development of countries by using the Economic Fitness and Complexity framework.