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Publications associées (31)

Energy-Efficient Electronic Functions Based on the Co-integration of 2D and Ferroelectric Materials

Sadegh Kamaei Bahmaei

The digital revolution has significantly transformed our world over the past decades, driven by the scaling of transistor dimensions and the exponential increase in computation power. However, as the CMOS scaling era approaches its end, the semiconductor i ...

EPFL2023

First developments towards producing inductive magnetic sensors using state-of-the-art photolithography techniques

Duccio Testa, Marcus Cemes, Ambrine Douhane

Inductive magnetic sensors are needed for tokamak operation to provide the low-frequency (LF) measurements leading to the equilibrium reconstruction and to monitor the higher frequency (HF) instabilities; the HF magnetic sensors are often also used as a ba ...

2023

Monolithic InSb nanostructure photodetectors on Si using rapid melt growth

Anna Fontcuberta i Morral, Nicholas Paul Morgan, Heera Menon

Monolithic integration of InSb on Si could be a key enabler for future electronic and optoelectronic applications. In this work, we report the fabrication of InSb metal-semiconductor-metal photodetectors directly on Si using a CMOS-compatible process known ...

ROYAL SOC CHEMISTRY2023

Front-End Circuits for Radiation-Hard Monolithic CMOS Sensors targeting High-Energy Physics Applications

Francesco Piro

Monolithic pixel sensors integrate the sensor matrix and readout in the same silicon die, and therefore present several advantages over the more largely used hybrid detectors in high-energy physics. They offer an easier detector assembly, lower cost, lower ...

EPFL2023

Miniaturised, Wireless and Distributed Neural Interface Toward Cortical Visual Prosthesis

Gian Luca Barbruni

Over the last decades, implantable neural interfaces have been extensively explored and effectively deployed to address neurological and mental health disorders. The existing solutions present several limitations. Firstly, the physical size of the implanta ...

EPFL2023

Radiation Hardness of MALTA2, a Monolithic Active Pixel Sensor for Tracking Applications

Edoardo Charbon, Francesco Piro, Ashish Sharma

MALTA is a depleted monolithic active pixel sensor (DMAPS) developed in the Tower Semiconductor 180-nm CMOS imaging process. Monolithic CMOS sensors offer advantages over current hybrid imaging sensors in terms of both increased tracking performance due to ...

Ieee-Inst Electrical Electronics Engineers Inc2023

GeSn as next-generation material for short-wave infrared single-photon detection

Andrea Giunto

In recent years, the automotive industry has aspired to bring self-driving vehicles to the general public and light detection and ranging (LiDAR) sensors have emerged as the preferred solution for car vision systems. At present, LiDAR technologies employ e ...

EPFL2023

Femtosecond laser-induced modifications and self-organization in complex glass systems

Gözden Torun

Ultrashort laser pulses, i.e., pulses emitted shorter than a picosecond, can tailor material properties by introducing permanent modifications locally in three dimensions. Remarkably, under a certain exposure condition, these modifications are accompanied ...

EPFL2023

A Compact Front-End Circuit for a Monolithic Sensor in a 65-nm CMOS Imaging Technology

Edoardo Charbon, Francesco Piro

This article presents the design of a front-end circuit for monolithic active pixel sensors (MAPSs). The circuit operates with a sensor featuring a small, low-capacitance (

Ieee-Inst Electrical Electronics Engineers Inc2023

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Anastasia Ailamaki, Syed Mohammad Aunn Raza, Hamish Mcniece Hill Nicholson, Periklis Chrysogelos

Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs offer in ...

2023

Ferroelectric Junctionless Double-Gate Silicon-On-Insulator FET as a Tripartite Synapse

Mihai Adrian Ionescu, Igor Stolichnov, Ali Saeidi, Matteo Cavalieri, Carlotta Gastaldi, Sadegh Kamaei Bahmaei

In this work, we report the concept and experimentally demonstrate the first tunable ferroelectric (Fe) junctionless (JL) transistor (Fe-JLFET), capable of emulating the functionality of biological tri-partite synapses, which is an artificial three-termina ...

Institute of Electrical and Electronics Engineers2023

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