Developing a DNA logic gate nanosensing platform for the detection of acetamiprid. [PDF]
Xi S+5 more
europepmc +1 more source
Ferroelectric Hafnium Oxide: A Potential Game‐Changer for Nanoelectronic Devices and Systems
Devices based on ferroelectric hafnium oxide have spurred interest in a wide range of nanoelectronic applications. This review focuses on the advantages and challenges of these devices, including non‐volatile memories, neuromorphic devices, sensors, actuators, and RF devices.
David Lehninger+8 more
wiley +1 more source
Ravel-XL: a hardware accelerator for assigned-delay compiled-code logic gate simulation [PDF]
Michael A. Riepe+3 more
openalex +1 more source
A Molecular Logic Gate for Developing "AND" Logic Probes and the Application in Hepatopathy Differentiation. [PDF]
Chen M+5 more
europepmc +1 more source
Field‐effect transistors with layered SnSe2 channel gated by a solution top gate combine very high room‐temperature electron mobility, large on‐off current ratios, and a subthreshold swing below the thermodynamic limit at exceptionally high sheet carrier concentrations.
Yuan Huang+3 more
wiley +1 more source
Development of Partial Discharge Automated Measuring System Using Multiple Logic Gates
Min Chen+4 more
openalex +2 more sources
Analog Low-Voltage Current-Mode Implementation of Digital Logic Gates [PDF]
Muhammad Taher Abuelma’atti
openalex +1 more source
An "AND" Molecular Logic Gate as a Super-Enhancers for De Novo Designing Activatable Probe and Its Application in Atherosclerosis Imaging. [PDF]
Sang M+9 more
europepmc +1 more source
Soft Electronic Switches and Adaptive Logic Gates Based on Nanostructured Gold Networks
Reconfigurable threshold logic gates and reversible switches are here demonstrated on a flexible and stretchable substrate, by exploiting the adaptability of the complex network composed of gold cluster‐assembled film embedded in the polymer matrix.
Giacomo Nadalini+5 more
wiley +1 more source
Convolutional Differentiable Logic Gate Networks [PDF]
With the increasing inference cost of machine learning models, there is a growing interest in models with fast and efficient inference. Recently, an approach for learning logic gate networks directly via a differentiable relaxation was proposed. Logic gate networks are faster than conventional neural network approaches because their inference only ...
arxiv