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Open AccessPost-COVID inflation and the monetary policy dilemma: an agent-based scenario analysis
The economic shocks that followed the COVID-19 pandemic have brought to light the difficulty, both for academics and policy makers, of describing and predicting the dynamics of inflation. This paper offers an ...
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Open AccessThe nature of non-phononic excitations in disordered systems
The frequency scaling exponent of low-frequency excitations in microscopically small glasses, which do not allow for the existence of waves (phonons), has been in the focus of the recent literature. The densit...
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Open AccessFinding defects in glasses through machine learning
Structural defects control the kinetic, thermodynamic and mechanical properties of glasses. For instance, rare quantum tunneling two-level systems (TLS) govern the physics of glasses at very low temperature. D...
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Open AccessCreating bulk ultrastable glasses by random particle bonding
A recent breakthrough in glass science has been the synthesis of ultrastable glasses via physical vapor deposition techniques. These samples display enhanced thermodynamic, kinetic and mechanical stability, wi...
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Open AccessAuthor Correction: Efficient generative modeling of protein sequences using simple autoregressive models
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Open AccessadabmDCA: adaptive Boltzmann machine learning for biological sequences
Boltzmann machines are energy-based models that have been shown to provide an accurate statistical description of domains of evolutionary-related protein and RNA families. They are parametrized in terms of loc...
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Open AccessEfficient generative modeling of protein sequences using simple autoregressive models
Generative models emerge as promising candidates for novel sequence-data driven approaches to protein design, and for the extraction of structural and functional information about proteins deeply hidden in rap...
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On the Number of Limit Cycles in Diluted Neural Networks
We consider the storage properties of temporal patterns, i.e. cycles of finite lengths, in neural networks represented by (generally asymmetric) spin glasses defined on random graphs. Inspired by the observati...
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Adaptive cluster expansion for Ising spin models
We propose an algorithm to obtain numerically approximate solutions of the direct Ising problem, that is, to compute the free energy and the equilibrium observables of spin systems with arbitrary two-spin intera...
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Open AccessNature of excitations and defects in structural glasses
The nature of defects in amorphous materials, analogous to vacancies and dislocations in crystals, remains elusive. Here, we explore their nature in a three-dimensional microscopic model glass-former that desc...
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Monetary policy and dark corners in a stylized agent-based model
We extend in a minimal way the stylized macroeconomic Agent-Based model introduced in our previous paper (Gualdi et al. in J Econ Dyn Control 50:29–61, 2015a), with the aim of investigating the role and efficacy ...
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Fractal free energy landscapes in structural glasses
Glasses are amorphous solids whose constituent particles are caged by their neighbours and thus cannot flow. This sluggishness is often ascribed to the free energy landscape containing multiple minima (basins)...
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Quantum glass forging
Intuition suggests that the occurrence of large quantum fluctuations should prevent a material from forming a glass, yet theory and simulations that explicitly incorporate such fluctuations suggest the opposit...
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Packings close and loose
What determines how grains such as sand pack together to fill a space? A thoroughgoing investigation of how geometry and friction interact in such systems is a step towards a more general understanding.
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On the High Density Behavior of Hamming Codes with Fixed Minimum Distance
We discuss the high density behavior of a system of hard spheres of diameter d on the hypercubic lattice of dimension n, in the limit n→∞, d→∞, d/n = δ. The problem is relevant for coding theory, and the best ava...
