Rare trajectories in a prototypical mean-field disordered model: Insights into landscape and instantons.

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2026-03

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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 relaxation processes is rich to the point of perplexity. Over the last decades, various efforts have attempted to formalize and systematize such processes in terms of instantons similar to the nucleation droplets of first-order phase transitions. In particular, Kirkpatrick, Thirumalai, and Wolynes proposed in the late 1980s an influential nucleation theory of relaxation in structural glasses. Already within this picture, however, the resulting structures are far from the compact objects expected from the classical droplet description. In addition, an altogether different type of single-particle hopping-like instantons has recently been isolated in molecular simulations. Landscape studies of mean-field spin-glass models have further revealed that simple saddle crossing does not capture relaxation in these systems. We present here a landscape-agnostic study of rare dynamical events, which delineates the richness of instantons in these systems. Our work not only captures the structure of metastable states, but also identifies the point of irreversibility, beyond which activated relaxation processes become a fait accompli. An interpretation of the associated landscape features is articulated, thus charting a path toward a complete understanding of RFOT instantons.

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10.1103/f4dj-d2sh

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Charbonneau, Patrick, Giampaolo Folena, Enrico M Malatesta, Tommaso Rizzo and Francesco Zamponi (2026). Rare trajectories in a prototypical mean-field disordered model: Insights into landscape and instantons. Physical review. E, 113(3-1). p. 034107. 10.1103/f4dj-d2sh Retrieved from https://hdl.handle.net/10161/34749.

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Charbonneau

Patrick Charbonneau

Professor of Physics

Patrick Charbonneau is Professor of Physics at Duke University. His research in soft matter and statistical physics uses theory and computer simulations to study glassy materials and frustrated systems. He also contributes to the history of science, curating projects on quantum and statistical physics as well as food history.


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