Implicit solvation is an effective, highly coarse-grained approach in atomic-scale simulations
to account for a surrounding liquid electrolyte on the level of a continuous polarizable …

Artificial neural networks (ANNs), inspired by the human brain's network of neurons and
synapses, enable computing machines and systems to execute cognitive tasks, thus …

Li+ electrolyte‐gated transistors (EGTs) have received much attention as artificial synapses
for neuromorphic computing. EGTs, however, have been still challenging to achieve long …

All-solid-state electric double layer transistors (ASS-EDLTs) have recently been attracting
attention because of their huge potential for use in neuromorphic device applications …

Lithium nanoionic transistors have recently emerged as promising artificial synaptic devices
for neuromorphic hardware systems. However, mimicking the essential synaptic …

Li+ electrolyte-gated transistors (EGTs) have attracted significant attention as artificial
synapses because of the fast response of Li+ ion, low operating voltage, and applicability to …

Low-temperature synthesis of two-dimensional (2D) transition metal dichalcogenides
(TMDs) is a key challenge for their integration with complementary metal-oxide …

Abstract Electric-double-layer (EDL) gated transistors use ions in an electrolyte to induce
charge in the channel of the transistor by field-effect. Because a sub-nanometer gap …

Traditional computer development based on the Von Neumann system has encountered a
bottleneck. The development of a brain-like computer that simulates the operation mode of …

Electric double-layer (EDL) gating using a custom-synthesized polyester single-ion
conductor (PE400-Li) is demonstrated on two-dimensional (2D) crystals for the first time. The …