From the 1 of 5 linked papers with an AI index.
6 papers
High-dimensional theory of the glass transition revisited: hopping and local defects
Harukuni Ikeda, Francesco Zamponi
The paper extends replica liquid theory by allowing only subsets of replicas to form molecules, capturing particle hopping and local defects, and applies this to high‑dimensional h…
Rare Trajectories in a Prototypical Mean-field Disordered Model: Insights into Landscape and Instantons
Patrick Charbonneau, Giampaolo Folena, Enrico M. Malatesta +2
For disordered systems within the random first-order transition (RFOT) universality class, such as structural glasses and certain spin glasses, the role played by activated relaxat…
Post-COVID Inflation & the Monetary Policy Dilemma: An Agent-Based Scenario Analysis
Max Sina Knicker, Karl Naumann-Woleske, Jean-Philippe Bouchaud +1
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 inf…
Nearest-Neighbours Neural Network architecture for efficient sampling of statistical physics models
Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi
The task of sampling efficiently the Gibbs-Boltzmann distribution of disordered systems is important both for the theoretical understanding of these models and for the solution of…
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
Brandon L. Annesi, Enrico M. Malatesta, Francesco Zamponi
We analyze the problem of storing random pattern-label associations using two classes of continuous non-convex weights models, namely the perceptron with negative margin and an inf…
Roadmap on machine learning glassy dynamics
Gerhard Jung, Rinske M. Alkemade, Victor Bapst +10
Unraveling the connections between microscopic structure, emergent physical properties, and slow dynamics has long been a challenge when studying the glass transition. The absence…