Memristor-Based Devices for Sensing

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Publications associées (31)

Diamond on GaN integration for power semiconductor devices with efficient thermal management

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The international actions against global warming demands reductions in carbon emission and more efficient use of energy. Energy efficiency in the conversion and use of electricity, as an important form of energy in the modern life, has strong environmental ...

EPFL2021

GaN-based power devices: Physics, reliability, and perspectives

Elison de Nazareth Matioli, Riyaz Mohammed Abdul Khadar, Luca Nela

Over the last decade, gallium nitride (GaN) has emerged as an excellent material for the fabrication of power devices. Among the semiconductors for which power devices are already available in the market, GaN has the widest energy gap, the largest critical ...

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Sensitivity, Noise and Resolution in a B -Modified Foundry-Made ISFET with Miniaturized Reference Electrode for Wearable Point-of-Care Applications

Mihai Adrian Ionescu, Luca Selmi, Junrui Zhang, Francesco Bellando, Pierpaolo Palestri

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-power i ...

2021

Heterostructure design and field management in III-N high-electron mobility electronic devices

Catherine Erine

III-N family of materials has offered multiple groundbreaking technologies in the field of optoelectronics and high-power radio-frequency (RF) devices. Blue light-emitting diodes (LEDs) have revolutionized low-energy lighting. Gallium nitride (GaN) RF mark ...

EPFL2021

Networks of Coupled VO2 Oscillators for Neuromorphic Computing

Elisabetta Corti

Neuromorphic computing is a wide research field aimed to the realization of brain-inspired hardware, apt to tackle computation of unstructured data more efficiently than currently done with standard computational units. Oscillatory neural networks are know ...

EPFL2021

Intrinsic switching in Si-doped HfO2: A study of Curie-Weiss law and its implications for negative capacitance field-effect transistor

Igor Stolichnov, Mihai Adrian Ionescu, Teodor Rosca, Ali Saeidi, Matteo Cavalieri, Eamon Patrick O'Connor, Carlotta Gastaldi, Sadegh Kamaei Bahmaei

HfO2-based ferroelectrics are considered a promising class of materials for logic and memory applications due to their CMOS compatibility and ferroelectric figures of merit. A steep-slope field-effect-transistor (FET) switch is a device for logic applicati ...

AMER INST PHYSICS2021

A Pixel Design of a Branching Ultra-Highspeed Image Sensor

Edoardo Charbon

A burst image sensor named Hanabi, meaning fireworks in Japanese, includes a branching CCD and multiple CMOS readout circuits. The sensor is backside-illuminated with a light/charge guide pipe to minimize the temporal resolution by suppressing the horizont ...

2021

Impact of Embedded Liquid Cooling on the Electrical Characteristics of GaN-on-Si Power Transistors

Elison de Nazareth Matioli, Armin Jafari, Palliyage Srilak Nirmana Perera, Catherine Erine, Remco Franciscus Peter van Erp, Luca Nela

Wide-Band-Gap semiconductors have enabled considerable miniaturization of power devices, which requires, however, new thermal management solutions to handle the resulting high heat fluxes. Recently, embedded liquid cooling in GaN-on-Si devices was demonstr ...

Institute of Electrical and Electronics Engineers2021

Negative capacitance semiconductor sensor

Mihai Adrian Ionescu, Ali Saeidi, Francesco Bellando

The present invention relates to a semiconductor sensor (1) comprising: a source element (17, 19); a drain element (21, 23); a semiconductor channel element (25) between the source element (17, 19) and the drain element (21, 23) for forming an electrically ...

2020

Multi-memristive synaptic architectures for training neural networks

Irem Boybat Kara

Highly data-centric AI workloads require that new computing paradigms be adopted because the performance of traditional CPU- and GPU-based systems are limited by data access and transfer. Training deep neural networks with millions of tunable parameters ta ...

EPFL2020

Sweat monitoring with CMOS compatible technology: ISFETS and beyond

Francesco Bellando

In recent years, sweat has gained increasing attention from the scientific community as a new analyte for health monitoring. The main advantage with respect to the "Gold Standard" for laboratory analysis, i.e. blood, is of course the possibility of perform ...

EPFL2020

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