Publications related to Design of Cryo-CMOS Analog Circuits using the Gm/ID Approach

Related publications (27)

Area-Oriented Optimization After Standard-Cell Mapping

Giovanni De Micheli, Alessandro Tempia Calvino, Andrea Costamagna

We address the problem of minimizing the area of circuits mapped to a technology library, with or without delay constraints. While traditional methods optimize first a technology-independent representation and then perform technology mapping to a library, ...

Association for Computing Machinery2025

A 0.32 x 0.12 mm2 Cryogenic BiCMOS 0.1-8.8 GHz Low Noise Amplifier Achieving 4 K Noise Temperature for SNWD Readout

Edoardo Charbon, Claudio Bruschini, Jad Benserhir

A significant number of cryogenic low -noise amplifiers (cryo-LNAs) are required for the readout of superconducting nanowire detector (SNWD) arrays. It is desirable to have compact cryo-LNAs in place so that the size of the readout circuitry for the SNWD a ...

Institute of Electrical and Electronics Engineers2024

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

Many-body physics with strongly interacting fermions coupled to light

Victor Youri Helson

This thesis reports on the realization of the first experiments conducted with superfluid, strongly interacting Fermi gases of 6Li coupled to the light field of an optical cavity. In the scope of existing ultracold atomic platforms, this is the first time ...

EPFL2023

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

Alexandre Schmid

Unstructured neural network pruning algorithms have achieved impressive compression ratios. However, the resulting-typically irregular-sparse matrices hamper efficient hardware implementations, leading to additional memory usage and complex control logic t ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Virtual reality validation of naturalistic modulation strategies to counteract fading in retinal stimulation

Diego Ghezzi, Naïg Aurelia Ludmilla Chenais, Sandrine Brikh

Objective. Temporal resolution is a key challenge in artificial vision. Several prosthetic approaches are limited by the perceptual fading of evoked phosphenes upon repeated stimulation from the same electrode. Therefore, implanted patients are forced to p ...

2022

80 K cryogenic stage for ice lithography

Danick Briand, Rubaiyet Iftekharul Haque, Jaemin Kim

We present a cryogenic system design and development for ice lithography. The cryo-stage is designed with embedded channels to allow direct liquid nitrogen flow, enabling fast cryogenic cooling, and low sample temperature. The stage cools down to 78.8 K in ...

ELSEVIER2022

New Insights for Parasitic Effects of Label-Free Biosensors Based on Capacitive Micromachined Ultrasonic Transducers

Sandro Carrara, Yihe Zhao

Capacitive micromachined ultrasonic transducers (CMUTs) are regarded as an attractive candidate in bio-applications such as imaging and molecule monitoring. However, the previous researches on biochemical sensing are mostly air-coupled application based on ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

High-Speed Volumetric Bioprinting Approach For Biofabrication Of Complex Living Tissue Structures

Christophe Moser, Damien Claude-Marie Loterie, Paul Delrot

MARY ANN LIEBERT, INC2022

A Needle-Shaped Electrochemical Sensor in Platinum for Robust Monitoring of Anaesthetics

Sandro Carrara

A needle-shaped electrochemical sensor based on platinum electrodes is proposed in this paper. These platinum electrodes provide improved mechanical properties with respect to previous prototypes proposed in literature. This makes them suitable for inserti ...

IEEE2022

Enhancing the beamwidth of low profile single-fed microstrip antennas using parasitic elements

Anja Skrivervik, Ismael Vico Triviño

In this paper we present a technique to broaden the beamwidth of conventional patch microstrip antennas by using parasitic elements. This technique allows to keep the main advantages of microstrip antennas while increasing their beamwidth. We provide guide ...

IEEE2022

Report of RILEM TC 267-TRM phase 3: validation of the R-3 reactivity test across a wide range of materials

Karen Scrivener, Mohsen Ben Haha, François Henri Avet, Xuerun Li, Ruben Anton Snellings, Diana Londoño Zuluaga, Pawel Tadeusz Durdzinski, Alastair Thomas Matthew Marsh

RILEM TC 267 TRM- "Tests for Reactivity of Supplementary Cementitious Materials" recommends the Rapid Reliable Relevant (R-3) test as a method for determining the chemical reactivity of supplementary cementitious materials (SCMs) in Portland cement blends. ...

SPRINGER2022

A Whale's Tail - Finding the Right Whale in an Uncertain World

Devis Tuia

Explainable machine learning and uncertainty quantification have emerged as promising approaches to check the suitability and understand the decision process of a data-driven model, to learn new insights from data, but also to get more information about th ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

turboMagnon - A code for the simulation of spin-wave spectra using the Liouville-Lanczos approach to time-dependent density-functional perturbation theory

Iurii Timrov

We introduce turboMagnon, an implementation of the Liouville-Lanczos approach to linearized time-dependent density-functional theory, designed to simulate spin-wave spectra in solid-state materials. The code is based on the noncollinear spin-polarized fram ...

ELSEVIER2022

LiNiO Gate Dielectric with Tri-Gate Structure for High Performance E-mode GaN transistors

Elison de Nazareth Matioli, Luca Nela, Mohammad Samizadeh Nikooytabalvandani, Taifang Wang

In this work, a Tri-Gate AlGaN/GaN metal-oxide-semiconductor high electron mobility transistor (MOSHEMT) with lithium nickel oxide (LiNiO) gate dielectric is demonstrated for enhancement-mode (e-mode) operation. The high-quality of pulse-laser-deposited (P ...

IEEE2021

Ultra-High-Voltage (7-kV) Bidirectional Flyback Converter Used to Drive Capacitive Actuators

Yves Perriard, Alexis Boegli, Morgan Almanza, Raphaël Johannes Charles Mottet

Dielectric elastomer actuators (DEAs) have extremely advantageous characteristics such as lightness, compactness, flexibility, and large displacements. However, in order to operate, they can require voltages in the order of several thousands of volts. Thus ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Bayesian optimization of peripheral intraneural stimulation protocols to evoke distal limb movements

Silvestro Micera, Grégoire Courtine, Sophie Marie Marthe Wurth, Simon Borgognon, Marion Aimée Geneviève Badi-Dubois

Objective. Motor neuroprostheses require the identification of stimulation protocols that effectively produce desired movements. Manual search for these protocols can be very time-consuming and often leads to suboptimal solutions, as several stimulation pa ...

IOP Publishing Ltd2021

A comparative surface analysis of explanted hip joint prostheses made of different biomedical alloys

Stefano Mischler, Angela Bermudez Castañeda

The introduction of modular design in total hip arthroplasty has enabled the use of different materials in one single configuration and the adjustment of the prosthesis to the patient's body, and facilitated medical revisions. However, modularity leads to ...

IMPRENTA UNIV ANTIOQUIA2021

Efficient Streaming Subgraph Isomorphism with Graph Neural Networks

Karl Aberer, Quoc Viet Hung Nguyen, Chi Thang Duong

Queries to detect isomorphic subgraphs are important in graph-based data management. While the problem of subgraph isomorphism search has received considerable attention for the static setting of a single query, or a batch thereof, existing approaches do n ...

ASSOC COMPUTING MACHINERY2021

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Joao André Gomes de Sá e Sousa, David Jules Froelicher, Jean-Philippe Léonard Bossuat, Sinem Sav

In this paper, we address the problem of privacy-preserving training and evaluation of neural networks in an N-party, federated learning setting. We propose a novel system, POSEIDON, the first of its kind in the regime of privacy-preserving neural network ...

INTERNET SOC2021