Neuromorphic computing could address the inherent limitations of conventional silicon
technology in dedicated machine learning applications. Recent work on silicon-based …

Organic electrochemical transistors (OECTs) make effective use of ion injection from an
electrolyte to modulate the bulk conductivity of an organic semiconductor channel. The …

Conspectus The emerging field of organic bioelectronics bridges the electronic world of
organic-semiconductor-based devices with the soft, predominantly ionic world of biology …

Novel computing technologies that imitate the principles of biological neural systems may
offer low power consumption along with distinct cognitive and learning advantages,. The …

Memory effects are ubiquitous in nature and are particularly relevant at the nanoscale where
the dynamical properties of electrons and ions strongly depend on the history of the system …

We present an introduction to and a tutorial on the properties of the recently discovered ideal
circuit element, a memristor. By definition, a memristor M relates the charge q and the …

Two centuries of memristors | Nature Materials Skip to main content Thank you for visiting
nature.com. You are using a browser version with limited support for CSS. To obtain the best …

The memristor is the fundamental nonlinear circuit element, with uses in computing and
computer memory. Resistive Random Access Memory (ReRAM) is a resistive switching …

Polyaniline (PAni) is a widely studied conductive polymer that has unique properties such as
high conductivity and stability. However, poor solubility and mechanical properties limit its …

The main goal of the field of neuromorphic computing is to build machines that emulate
aspects of the brain in its ability to perform complex tasks in parallel and with great energy …