Results 51 to 60 of about 103,204 (298)
Amorphous oxide semiconductor (AOS) field-effect transistors (FETs) have been integrated with complementary metal-oxide-semiconductor (CMOS) circuitry in the back end of line (BEOL) CMOS process; they are promising devices creating new and various ...
Donguk Kim +13 more
doaj +1 more source
EDX elemental map of the pre‐oxidized MgO–steel cermet anode cross section after electrolysis. The development of inert anodes for aluminum electrolysis remains challenging due to the high corrosivity of cryolite‐based melts at 950°C–1000°C. This study investigates the corrosion and process behavior of a carbon‐free MgO–steel cermet anode derived from ...
Alexander Adamczyk +7 more
wiley +1 more source
In recent years, advances in optoelectronics and electronics have prioritized optimizing semiconductor device performance and reducing power consumption by modeling new semiconductor device geometries.
Jo`shqin Sh. Abdullayev +1 more
doaj +1 more source
The Quantum Hydrodynamic Model for Semiconductor Devices [PDF]
The article under review deals with the quantum hydrodynamic (QHD) equations for the charge transport simulation in quantum semiconductor devices. It is well-known that the behaviour of quantum fluid near thermal equilibrium and in the high temperature limit can be approximated by adding \({\mathcal O} (\hbar^ 2)\) terms to the classical fluid ...
openaire +1 more source
A buried‐junction DSPEC design is introduced that leverages cascade charge transfer to enhance efficiency, stability, and versatility. This approach facilitates effective charge transfer and minimizes recombination losses, leading to significant improvements.
Jun‐Hyeok Park +8 more
wiley +1 more source
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu +2 more
wiley +1 more source
Large-Scale Training in Neural Compact Models for Accurate and Adaptable MOSFET Simulation
We address the challenges associated with traditional analytical models, such as BSIM, in semiconductor device modeling. These models often face limitations in accurately representing the complex behaviors of miniaturized devices.
Chanwoo Park +7 more
doaj +1 more source
Parameter Extraction for the PSPHV LDMOS Transistor Model
This paper details a robust parameter extraction flow for the PSPHV LDMOS transistor model. The procedure uses a global scaling parameter set and accounts for self-heating.
Kejun Xia +2 more
doaj +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
From a database of 170 pentagonal 2D materials, 4 candidates exhibiting altermagnetic ordering are screened. Furthermore, the spin‐splitting and unconventional boundary states in the pentagonal 2D altermagnetic monolayer MnS2 are investigated. A MnS2‐based altermagnetic tunneling junction is designed and, through ab initio quantum transport simulations,
Jianhua Wang +8 more
wiley +1 more source

