Recent Advances in Enhancing the Sensitivity of Biosensors Based on Field Effect Transistors

Y Zhou, T Feng, Y Li, X Ao, S Liang… - Advanced Electronic …, 2024 - Wiley Online Library
Biosensors based on field effect transistor (FET), also known as Bio‐FETs, offer numerous
advantages, including high sensitivity, rapid response speed, low operating voltage …

[HTML][HTML] Unveiling Research Trends: A Decade-long Analysis of Academic Research (2013-2024)

M Nilashi - Journal of Soft Computing and Decision Support …, 2023 - jscdss.com
This work analyzes papers published between 2013 and 2024, as reported by the Scopus
database. The examination focuses on my collaborative contributions within this timeframe …

Modified GRNN based atomic modeling approach for nanoscale devices and TFET implementation

AÖ Polat, M Avcı - Materials Today Communications, 2021 - Elsevier
The simulation of realistic device models in quantum transport requires an extreme amount
of memory and computation time. The computational burden in quantum transport is caused …

Process of learning from demonstration with paraconsistent artificial neural cells for application in linear cartesian robots

JI Da Silva Filho, CLM Fernandes, RS Silveira… - Robotics, 2023 - mdpi.com
Paraconsistent Annotated Logic (PAL) is a type of non-classical logic based on concepts
that allow, under certain conditions, for one to accept contradictions without invalidating …

Transient performance analysis of graphene FET gated via ionic solid by numerical simulations based on tight-binding method and Nernst–Planck–Poisson equations

K Arihori, M Ogawa, S Souma… - Journal of Applied …, 2021 - pubs.aip.org
We investigate the electrical transport characteristics of graphene channel field-effect
transistors (FETs) gated via ionic solid (IS), where the conventional gate insulator, such as …

[HTML][HTML] Soft sensors in the primary aluminum production process based on neural networks using clustering methods

AMF de Souza, FM Soares, MAG de Castro… - Sensors (Basel …, 2019 - ncbi.nlm.nih.gov
Primary aluminum production is an uninterrupted and complex process that must operate in
a closed loop, hindering possibilities for experiments to improve production. In this sense, it …

Soft sensors in the primary aluminum production process based on neural networks using clustering methods

AMF Souza, FM Soares, MAG Castro, NF Nagem… - Sensors, 2019 - mdpi.com
Primary aluminum production is an uninterrupted and complex process that must operate in
a closed loop, hindering possibilities for experiments to improve production. In this sense, it …

Multiscale studies of nanoconfined charging dynamics in supercapacitors bridged by machine learning

H Zhan, R Sandberg, Z Xiong, Q Liang, K Xie… - arXiv preprint arXiv …, 2020 - arxiv.org
The energy-delivery performance of supercapacitors is fundamentally determined by the
dynamics of ions confined in nanoporous materials, which has attracted intensive interest in …