Theoretical perspective on the glass transition and amorphous materials

L Berthier, G Biroli - Reviews of modern physics, 2011 - APS
A theoretical perspective is provided on the glass transition in molecular liquids at thermal
equilibrium, on the spatially heterogeneous and aging dynamics of disordered materials …

Supercooled liquids for pedestrians

A Cavagna - Physics Reports, 2009 - Elsevier
When we lower the temperature of a liquid, at some point we meet a first order phase
transition to the crystal. Yet, under certain conditions it is possible to keep the system in its …

[BOOK][B] Theory of simple glasses: exact solutions in infinite dimensions

G Parisi, P Urbani, F Zamponi - 2020 - books.google.com
This pedagogical and self-contained text describes the modern mean field theory of simple
structural glasses. The book begins with a thorough explanation of infinite-dimensional …

Reinforcement learning in different phases of quantum control

M Bukov, AGR Day, D Sels, P Weinberg, A Polkovnikov… - Physical Review X, 2018 - APS
The ability to prepare a physical system in a desired quantum state is central to many areas
of physics such as nuclear magnetic resonance, cold atoms, and quantum computing. Yet …

Introduction to random matrices theory and practice

G Livan, M Novaes, P Vivo - Monograph Award, 2018 - ems.press
In their preface, the authors state that 'this is a book for absolute beginners'. Well, that
depends on the definition of a beginner! Here,(s) he should be thoroughly at home in …

Mean-field theory of hard sphere glasses and jamming

G Parisi, F Zamponi - Reviews of Modern Physics, 2010 - APS
Hard spheres are ubiquitous in condensed matter: they have been used as models for
liquids, crystals, colloidal systems, granular systems, and powders. Packings of hard …

Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks

A Canatar, B Bordelon, C Pehlevan - Nature communications, 2021 - nature.com
A theoretical understanding of generalization remains an open problem for many machine
learning models, including deep networks where overparameterization leads to better …

Extreme value statistics of correlated random variables: a pedagogical review

SN Majumdar, A Pal, G Schehr - Physics Reports, 2020 - Elsevier
Extreme value statistics (EVS) concerns the study of the statistics of the maximum or the
minimum of a set of random variables. This is an important problem for any time-series and …

Modern applications of machine learning in quantum sciences

A Dawid, J Arnold, B Requena, A Gresch… - arxiv preprint arxiv …, 2022 - arxiv.org
In these Lecture Notes, we provide a comprehensive introduction to the most recent
advances in the application of machine learning methods in quantum sciences. We cover …

Dynamics on the way to forming glass: Bubbles in space-time

D Chandler, JP Garrahan - Annual review of physical chemistry, 2010 - annualreviews.org
We review a theoretical perspective of the dynamics of glass-forming liquids and the glass
transition, a perspective developed during this past decade based on the structure of …