Solids are rigid, which means that when left undisturbed, their structures are nearly static. It
follows that these structures depend on history—but it is surprising that they hold readable …

Mechanical computing requires matter to adapt behavior according to retained knowledge,
often through integrated sensing, actuation, and control of deformation. However, inefficient …

Mechanical metamaterials exhibit interesting properties such as high stiffness at low density,–
, enhanced energy absorption,, shape morphing,–, sequential deformations,,–, auxeticity …

By synthesizing the requisite functionalities of intelligence in an integrated material system, it
may become possible to animate otherwise inanimate matter. A significant challenge in this …

Learning algorithms based on backpropagation have enabled transformative technological
advances but alternatives based on local energy-based rules offer benefits in terms of …

While many materials exhibit a complex, hysteretic response to external driving, there has
been a surge of interest in how the complex dynamics of internal materials states can be …

Ordered mechanical systems typically have one or only a few stable rest configurations, and
hence are not considered useful for encoding memory. Multistable and history-dependent …

The complex sequential response of frustrated materials results from the interactions
between material bits called hysterons. Hence, a central challenge is to understand and …

Triboelectric nanogenerator-based vibration sensors (TVSs) present a promising approach
for online vibration monitoring, offering early detection of excessive vibrations that pose risks …

The synthesis of soft matter intelligence with circuit‐driven logic has enabled a new class of
robots that perform complex tasks or conform to specialized form factors in unique ways that …