Memory formation in matter is a theme of broad intellectual relevance; it sits at the
interdisciplinary crossroads of physics, biology, chemistry, and computer science. Memory …

Glasses are materials that lack a crystalline microstructure and long‐range atomic order.
Instead, they feature heterogeneity and disorder on superstructural scales, which have …

Despite decades of theoretical studies, the nature of the glass transition remains elusive and
debated, while the existence of structural predictors of its dynamics is a major open …

In the last five years, there has been tremendous growth in machine learning and artificial
intelligence as applied to polymer science. Here, we highlight the unique challenges …

We combine an analytically solvable mean-field elasto-plastic model with molecular
dynamics simulations of a generic glass former to demonstrate that, depending on their …

Some high-entropy alloys, which contain two or more component phases with highly
different properties, can achieve an outstanding combination of high strength and high …

We introduce JAX MD, a software package for performing differentiable physics simulations
with a focus on molecular dynamics. JAX MD includes a number of statistical physics …

A great success of solid state physics comes from the characterization of crystal structures in
the reciprocal (wave vector) space. The power of structural characterization in Fourier space …

Amorphous solids lack long-range order. Therefore identifying structural defects—akin to
dislocations in crystalline solids—that carry plastic flow in these systems remains a daunting …

The design of new glasses is often plagued by poorly efficient Edisonian “trial-and-error”
discovery approaches. As an alternative route, the Materials Genome Initiative has largely …