Machine learning approach for predicting the effect of statistical variability in Si junctionless nanowire transistors

H Carrillo-Nuñez, N Dimitrova… - IEEE Electron …, 2019 - ieeexplore.ieee.org
This letter investigates the possibility to replace numerical TCAD device simulations with a
multi-layer neural network (NN). We explore if it is possible to train the NN with the required …

A tutorial on the NEGF method for electron transport in devices and defective materials

A Thakur, N Sarkar - The European Physical Journal B, 2023 - Springer
A tutorial on non-equilibrium Green's function theory and its applications on nanoscale
devices is presented. A stepwise tutorial presentation, starting from the concept of Green's …

CMOS compatibility of semiconductor spin qubits

ND Stuyck, A Saraiva, W Gilbert, JC Pardo, R Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Several domains of society will be disrupted once millions of high-quality qubits can be
brought together to perform fault-tolerant quantum computing (FTQC). All quantum …

Analysis of threshold voltage variability due to random dopant fluctuations in junctionless FETs

A Gnudi, S Reggiani, E Gnani… - IEEE Electron Device …, 2012 - ieeexplore.ieee.org
An analytical formulation of the threshold voltage variance induced by random dopant
fluctuations in junctionless transistors is derived for both cylindrical nanowire and planar …

[BOOK][B] Intelligent nanomaterials

A Tiwari, YK Mishra, H Kobayashi, APF Turner - 2016 - books.google.com
Overall, this book presents a detailed and comprehensive overview of the state-of-the-art
development of different nanoscale intelligent materials for advanced applications. Apart …

Bounds to electron spin qubit variability for scalable CMOS architectures

JD Cifuentes, T Tanttu, W Gilbert, JY Huang… - Nature …, 2024 - nature.com
Spins of electrons in silicon MOS quantum dots combine exquisite quantum properties and
scalable fabrication. In the age of quantum technology, however, the metrics that crowned …

Variability of electron and hole spin qubits due to interface roughness and charge traps

B Martinez, YM Niquet - Physical Review Applied, 2022 - APS
Semiconductor spin qubits may show significant device-to-device variability in the presence
of spin-orbit coupling mechanisms. Interface roughness, charge traps, layout, or process …

Quantum calculations of the carrier mobility: Methodology, Matthiessen's rule, and comparison with semi-classical approaches

YM Niquet, VH Nguyen, F Triozon, I Duchemin… - Journal of Applied …, 2014 - pubs.aip.org
We discuss carrier mobilities in the quantum Non-Equilibrium Green's Functions (NEGF)
framework. We introduce a method for the extraction of the mobility that is free from contact …

Investigation on variability in metal-gate Si nanowire MOSFETs: Analysis of variation sources and experimental characterization

R Wang, J Zhuge, R Huang, T Yu, J Zou… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
The characteristic variability in gate-all-around (GAA) Si nanowire (NW) metal-oxide-
semiconductor field-effect transistors (SNWTs) is analyzed and experimentally investigated …

A multi-method simulation toolbox to study performance and variability of nanowire FETs

N Seoane, D Nagy, G Indalecio, G Espiñeira, K Kalna… - Materials, 2019 - mdpi.com
An in-house-built three-dimensional multi-method semi-classical/classical toolbox has been
developed to characterise the performance, scalability, and variability of state-of-the-art …