Publications related to Quenches in the Sherrington-Kirkpatrick model

Related publications (10)

Investigating metastability in the bandstructure of correlated matter by ultrafast photoemission spectroscopy

Advancements of laser technologies and material science have revolutionized the ability to manipulate matter through irradiation with ultrafast light pulses. This progress enables not only the study of out-of-equilibrium dynamics but also allows for the se ...

EPFL2025

Enhancing Lift and Dynamic Stability Through Morphological Optimization of Wings for Tailless Flapping-Wing Robots

Josephine Anna Eleanor Hughes

The design of wings is crucial for tailless Flapping-wing robots (FWRs), as these robots rely exclusively on their wings for lift generation and body control. However, the current methodology for wing design primarily depends on the experience and heuristi ...

2025

Representing and machine learning complex electronic-structure properties of materials

Austin Jacob Zadoks

The rise of high-throughput first-principles calculations of materials since the turn of the millennium has gifted the fields of physics, quantum chemistry, and materials science with a mountainous and ever-growing pile of data ready to be mined for hidden ...

EPFL2025

Robustly Learning Regions of Attraction From Fixed Data

Colin Neil Jones

While stability analysis is a mainstay for control science, especially computing regions of attraction of equilibrium points, until recently most stability analysis tools always required explicit knowledge of the model or a high-fidelity simulator represen ...

2025

High-order geometric integrators for the local cubic variational Gaussian wavepacket dynamics

Roya Moghaddasi Fereidani

Gaussian wavepacket dynamics has proven to be a useful semiclassical approximation for quantum simulations of high-dimensional systems with low anharmonicity. Compared to Heller's original local harmonic method, the variational Gaussian wavepacket dynamics ...

Aip Publishing2024

Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions From Expert Demonstrations

Baiyu Peng, Aude Billard

Planning for diverse real-world robotic tasks necessitates to know and write all constraints. However, instances exist where these constraints are either unknown or challenging to specify accurately. A possible solution is to infer the unknown constraints ...

2024

A new method to interpolate POD reduced bases-Application to the parametric model order reduction of a gas bearings supported rotor

Fabio Nobile, Jürg Alexander Schiffmann, Dimitri Maurice Goutaudier

The proper orthogonal decomposition (POD) is successfully employed in a variety of projection-based methods for parametric model order reduction (pMOR) of large dynamical systems. It extracts the most energetic modes describing the dynamics of a system fro ...

Wiley2023

Fast dynamic 1D simulation of divertor plasmas with neural PDE surrogates

Yoeri Renier Johannes Poels

Managing divertor plasmas is crucial for operating reactor scale tokamak devices due to heat and particle flux constraints on the divertor target. Simulation is an important tool to understand and control these plasmas, however, for real-time applications ...

IOP Publishing Ltd2023

The continuum of attention dysfunction: Evidence from dynamic functional network connectivity analysis in neurotypical adolescents

Farnaz Delavari

The question of whether attention-related disorders such as attention-deficit/hyperactivity disorder (ADHD) are best understood as clinical categories or as extreme ends of a spectrum is an ongoing debate. Assessing individuals with varying degrees of atte ...

2023

Disclosing the response of the surface electronic structure in SrTiO3 (001) to strain

Jan Hugo Dil

Combining angle-resolved photoemission spectroscopy and density functional theory calculations, we addressed the surface electronic structure of bent SrTiO 3 (STO) (001) wafers. Using a custom-made device, we observe that the low-dimensional states that em ...

2022