IEEE

Neural Network-Based BSIM Transistor Model Framework: Currents, Charges, Variability, and Circuit Simulation

Abstract: We present a neural network (NN)-based transistor modeling framework, which includes drain, source, and gate currents and charges and their variabilities. The training data are generated by ...
IEEE

Ferroelectric Field Effect Transistors as a Synapse for Neuromorphic Application

Abstract: In spite of the increasing use of machine learning techniques, in-memory computing and hardware have increased the interest to accelerate neural network operation. Henceforth, novel embedded ...
C&EN

Nanometer-Scale Ge-Based Adaptable Transistors Providing Programmable Negative Differential Resistance Enabling Multivalued Logic

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Nature

Ultralow-voltage electrochemical organic light-emitting transistors with pinned and wide lateral recombination

Light emission from organic transistors holds strong potential for user-interactive functionality across applications ranging from wearable and biointegrated systems to neuromorphic electronics.
Nature

Scaling nanoribbon transistors with monolayer transition metal dichalcogenides

Due to the lack of out-of-plane chemical bonds, monolayer TMDs adhere to substrates by van der Waals forces, making them prone to delamination during lithography, etching and wet processing. To ...
C&EN

Nonvolatile High-Speed Switching Zn-O-N Thin-Film Transistors with a Bilayer Structure

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...