Learning is traditionally studied in biological or computational systems. The power of
learning frameworks in solving hard inverse problems provides an appealing case for the …

Dynamic relaxation is an intrinsic and universal feature of glasses and enables fluctuation
and dissipation to occur, which induces plentiful behaviour, maintains equilibrium, and …

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 …

Motivated by advances in the field of active matter where nonequilibrium forcing has been
shown to activate new assembly pathways, here we study how nonequilibrium driving in …

Crumpling an ordinary thin sheet transforms it into a structure with unusual mechanical
behaviors, such as enhanced rigidity, emission of crackling noise, slow relaxations, and …

A fundamental problem in the physics of amorphous materials is understanding the
transition from reversible to irreversible plastic behavior and its connection to yield …

Disordered materials are often out of equilibrium and evolve very slowly in a rugged and
tortuous energy landscape. This slow evolution, referred to as aging, is deemed undesirable …

We show that memory can be encoded in a model amorphous solid subjected to athermal
oscillatory shear deformations, and in an analogous spin model with disordered interactions …

In a neuron network, synapses update individually using local information, allowing for
entirely decentralized learning. In contrast, elements in an artificial neural network are …

We consider the slow and athermal deformations of amorphous solids and show how the
ensuing sequence of discrete plastic rearrangements can be mapped onto a directed …