Brain-Inspired Polymer Dendrite Networks for Morphology-Dependent Computing Hardware.

ABSTRACT: Process variation is always a challenge to mitigate in electronics. This especially holds true for organic semiconductors, where reproducibility concerns hinder industrialization. Challenging this concept, it shows AC-electropolymerization to be a powerful platform for the development of morphology-dependent computing hardware, thanks precisely to its intrinsic stochasticity. The findings reveal that electropolymerized polymer dendrite networks exhibit a complex structure-operation relationship that allows to implement nearly linear to nonlinear functions. Moreover, dendritic networks can integrate a limitless number of inputs from their environment, which can be used to the advantage in the context of in materio computing to discriminate between different spatiotemporal inputs. These resu

SUBMITTER: Scholaert C 

PROVIDER: S-EPMC12412553 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature