339 citations · 2.3k across the 38 of their papers we have counts for
38 papers
The limits of interpretability in multiple linear regression
Anand Sharma, Chen Liu, Daniele Coslovich +1
Interpreting machine-learning models has attracted increasing attention, particularly in the physical sciences, where one often seeks to understand the underlying mechanisms rather…
Interpretability of linear regression models of glassy dynamics
Anand Sharma, Chen Liu, Misaki Ozawa +1
Data-driven models can accurately describe and predict the dynamical properties of glass-forming liquids from structural data. Accurate predictions, however, do not guarantee an un…
Glassy dynamics and crystalline local order in two-dimensional amorphous silica
Marco Dirindin, Daniele Coslovich
We reassess the modeling of amorphous silica bilayers as a two-dimensional classical system whose particles interact with an effective pairwise potential. We show that it is possib…
Roadmap on machine learning glassy dynamics
Gerhard Jung, Rinske M. Alkemade, Victor Bapst +10
Unraveling the connections between microscopic structure, emergent physical properties, and slow dynamics has long been a challenge when studying the glass transition. The absence…
Dimensionality reduction of local structure in glassy binary mixtures
Daniele Coslovich, Robert L. Jack, Joris Paret
We consider unsupervised learning methods for characterizing the disordered microscopic structure of supercooled liquids and glasses. Specifically, we perform dimensionality reduct…
Revisiting the single-saddle model for the -relaxation of supercooled liquids
Daniele Coslovich, Atsushi Ikeda
The dynamics of glass-forming liquids display several outstanding features, such as two-step relaxation and dynamic heterogeneities, which are difficult to predict quantitatively f…