466 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH21 papers
- Sapienza University of RomeIT9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Swiss Federal Institute for Forest, Snow and Landscape ResearchCH8 papers
- Fundacion Agencia Aragonesa para la Investigacion y el DesarrolloES7 papers
- Instituto de Biocomputación y Física de Sistemas Complejos7 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di FerraraIT7 papers
- Universidad Complutense de MadridES7 papers
- Universidad de ExtremaduraES7 papers
- Universidad de ZaragozaES7 papers
- Chan Zuckerberg Initiative (United States)US6 papers
- Institute of Environmental EngineeringPL6 papers
6 papers · 1 filter
Quantifying memory in spin glasses
Janus Collaboration, I. Paga, J. He +24
Rejuvenation and memory, long considered the distinguishing features of spin glasses, have recently been proven to result from the growth of multiple length scales. This insight, e…
Multifractality in spin glasses
Janus Collaboration, M. Baity-Jesi, E. Calore +21
We unveil the multifractal behavior of Ising spin glasses in their low-temperature phase. Using the Janus II custom-built supercomputer, the spin-glass correlation function is stud…
No evidence for absence of solar dynamo synchronization
F. Stefani, J. Beer, T. Weier
Context: The old question of whether the solar dynamo is synchronized by the tidal forces of the orbiting planets has recently received renewed interest, both from the viewpoint of…
Operational Research: Methods and Applications
Fotios Petropoulos, Gilbert Laporte, Emel Aktas +79
Throughout its history, Operational Research has evolved to include a variety of methods, models and algorithms that have been applied to a diverse and wide range of contexts. This…
An Introduction to the Theory of Spin Glasses
Ada Altieri, Marco Baity-Jesi
We review the main methods used to study spin glasses. In the first part, we focus on methods for fully connected models and systems defined on a tree, such as the replica method,…
Differentiable modeling to unify machine learning and physical models and advance Geosciences
Chaopeng Shen, Alison P. Appling, Pierre Gentine +27
Process-Based Modeling (PBM) and Machine Learning (ML) are often perceived as distinct paradigms in the geosciences. Here we present differentiable geoscientific modeling as a powe…