Zobrazeno 1 - 10
of 360
pro vyhledávání: '"Luca Selmi"'
Autor:
Francesco Bellando, Leandro Julian Mele, Pierpaolo Palestri, Junrui Zhang, Adrian Mihai Ionescu, Luca Selmi
Publikováno v:
Sensors, Vol 21, Iss 5, p 1779 (2021)
Ion-sensitive field-effect transistors (ISFETs) form a high sensitivity and scalable class of sensors, compatible with advanced complementary metal-oxide semiconductor (CMOS) processes. Despite many previous demonstrations about their merits as low-p
Externí odkaz:
https://doaj.org/article/86be8c6ab61f47a4bd655813334d7fc0
Autor:
Sebastiano Strangio, Pierpaolo Palestri, DAVID Esseni, Luca Selmi, Felice Crupi, Simon Richter, Qing-Tai Zhao, Siegfried Mantl
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 3, Iss 3, Pp 223-232 (2015)
We use mixed device-circuit simulations to predict the performance of 6T static RAM (SRAM) cells implemented with tunnel-FETs (TFETs). Idealized template devices are used to assess the impact of device unidirectionality, which is inherent to TFETs an
Externí odkaz:
https://doaj.org/article/cfb1c397777144b4a0de5731e025fe2d
Autor:
Enrico Accastelli, Paolo Scarbolo, Thomas Ernst, Pierpaolo Palestri, Luca Selmi, Carlotta Guiducci
Publikováno v:
Biosensors, Vol 6, Iss 1, p 9 (2016)
The signal-to-noise ratio of planar ISFET pH sensors deteriorates when reducing the area occupied by the device, thus hampering the scalability of on-chip analytical systems which detect the DNA polymerase through pH measurements. Top-down nano-sized
Externí odkaz:
https://doaj.org/article/96656843069c40f593176156f6a5e847
Autor:
Ruben Asanovski, Alexander Grill, Jacopo Franco, Pierpaolo Palestri, Arnout Beckers, Ben Kaczer, Luca Selmi
Publikováno v:
IEEE Transactions on Electron Devices. 70:2135-2141
Publikováno v:
2022 IEEE SENSORS, 1-4
STARTPAGE=1;ENDPAGE=4;TITLE=2022 IEEE SENSORS
2022 IEEE Sensors
STARTPAGE=1;ENDPAGE=4;TITLE=2022 IEEE SENSORS
2022 IEEE Sensors
Understanding the biological-electrical transduction mechanisms is essential for reliable neural signal recording and feature extraction. As an alternative to state-of-the-art lumped-element circuit models, here we adopt a multiscale-multiphysics fin
Publikováno v:
TechRxiv
A methodology to build multi-compartment lumped elements equivalent circuits for the neuron/electrode systems is proposed. The equivalent circuit topology is derived by careful scrutiny of accurate multiphysics finite-elements method (FEM) simulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::528a746586303cebeb122fdff128b885
https://doi.org/10.36227/techrxiv.21972899
https://doi.org/10.36227/techrxiv.21972899
Publikováno v:
IEEE Transactions on Electron Devices. 68:4826-4833
We derive a complete set of expressions for the MOSFET gate and drain power spectral densities due to elastic and inelastic trapping/detrapping of channel carriers into the gate dielectric. Our calculations explain trapping/detrapping noise (TDN) in
We present and validate an equilibrium model based on the Poisson-Boltzmann equations that includes the main ingredients to simulate ion-sensitive membranes in the context of electrochemical potentiometric sensors with and without ionophores. With re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6e73083d1fb9faa8332c0c8b2b3b4ae
https://zenodo.org/record/7032426
https://zenodo.org/record/7032426
Publikováno v:
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 380(2228)
Neuron and neural network studies are remarkably fostered by novel stimulation and recording systems, which often make use of biochips fabricated with advanced electronic technologies and, notably, micro- and nanoscale complementary metal-oxide semic
Autor:
Luca Selmi, Serge G. Lemay, Cecilia Laborde, Denis Brandalise, F. Widdershoven, Andrea Cossettini
Publikováno v:
IEEE sensors journal, 21(4):9234466, 4696-4704. IEEE
We present new experimental evidence and extensive numerical simulations of a few distinct fingerprints generated by dielectric and conductive microparticles in electrolyte environment on the capacitance spectra of nanoelectrode array sensors. Finite