Theoretical perspective on the glass transition and amorphous materials
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 …
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 …
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
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 …
structural glasses. The book begins with a thorough explanation of infinite-dimensional …
Reinforcement learning in different phases of quantum control
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 …
of physics such as nuclear magnetic resonance, cold atoms, and quantum computing. Yet …
Introduction to random matrices theory and practice
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 …
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
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 …
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 theoretical understanding of generalization remains an open problem for many machine
learning models, including deep networks where overparameterization leads to better …
learning models, including deep networks where overparameterization leads to better …
Extreme value statistics of correlated random variables: a pedagogical review
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 …
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
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 …
advances in the application of machine learning methods in quantum sciences. We cover …
Dynamics on the way to forming glass: Bubbles in space-time
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 …
transition, a perspective developed during this past decade based on the structure of …