MIT researchers leveraged the unique mechanical response of soft polymers at the nanoscale to build an ultra‑compact, energy‑efficient device that integrates computing and memory. A thin film of polydimethylsiloxane (PDMS) is sandwiched between two metal electrodes, acting as a reversible nano‑spring. Applying a voltage pulls the electrodes together, compressing the PDMS and modulating the current; when the voltage is removed, the viscoelastic PDMS slowly returns to its original shape, encoding the history of forces and voltages into an electrical response. The team demonstrated an artificial neuron: voltage applied over time gradually compresses the PDMS, and once a threshold is crossed the device “fires” and then relaxes, mirroring the integrate‑and‑fire behavior of biological neurons. Because computation and storage reside in a single element, no external capacitors or complex circuitry are required, yielding high energy efficiency and a tiny footprint. Potential applications include low‑power edge computing, smart prosthetics, real‑time health‑monitoring patches, and future integration of sensing with computation to create fully functional nanomechanical computing matter.
Review: This study provides a compelling proof‑of‑concept that intrinsic material mechanics can be harnessed for brain‑inspired hardware, opening a promising route toward ultra‑efficient neuromorphic systems.