Results 71 to 80 of about 2,685 (210)
Physics‐Based Compact Modeling of Advanced 3D Nanoscale Vertical NAND Flash Memory
For advanced 3D NAND flash memory, a unified compact model for SPICE is proposed that spans from the intrinsic unit cell to the full string and captures the electrostatic coupling with adjacent inhibit strings. It can successfully predict read behavior, program/erase dynamics, and interactions between neighboring cells, reflecting array‐level behavior ...
Ilho Myeong, Seonho Shin, Ickhyun Song
wiley +1 more source
Monolayer PtTe2 enables dopant‐free Schottky FETs through its thickness‐dependent electronic transition. Quantum transport simulations show that crystallographic orientation strongly influences device performance, with Γ–M transport delivering higher drive current, lower leakage, and improved switching behavior.
Lida Ansari, Paul K. Hurley, Farzan Gity
wiley +1 more source
Ferroelectric-Hf1-xZrxO2 FETs on silicon on insulator (SOI) are modeled and demonstrated with improvement on subthreshold swing (SS) and hysteresis (VT-shift), which is based on the capacitance matching concept.
Kuan-Ting Chen +14 more
doaj +1 more source
A new line tunneling SiGe/Si iTFET with control gate for leakage suppression and subthreshold swing improvement. [PDF]
Lin JT, Weng SC.
europepmc +1 more source
Low‐temperature Al/Al2O3/DNTT/Au organic phototransistors fabricated on flexible PEN combine high responsivity to blue light (≈250 A W−1 at 39 nW cm−2) with detectable modulated photoresponse up to 150 kHz, making them promising for ultra‐low‐light sensing and moderate‐speed optical links.
Antonio Caldarelli +7 more
wiley +1 more source
A two-dimensional analytical model for short channel junctionless double-gate MOSFETs
A physics-based analytical model of electrostatic potential for short-channel junctionless double-gate MOSFETs (JLDGMTs) operated in the subthreshold regime is proposed, in which the full two-dimensional (2-D) Poisson’s equation is solved in channel ...
Chunsheng Jiang +3 more
doaj +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Steep Subthreshold Swing and Enhanced Illumination Stability InGaZnO Thin-Film Transistor by Plasma Oxidation on Silicon Nitride Gate Dielectric. [PDF]
Liu Y +6 more
europepmc +1 more source
A tandem neural network directly solves the multivalued inverse problem of extracting semiconductor parameters from transistor measurements. Trained on only 1000 simulations, the network infers six material parameters (e.g., defect states, carrier concentration, mobility) in under 1 ms, demonstrating a broadly applicable framework for semiconductor ...
Masatoshi Kimura +8 more
wiley +1 more source

