Publications related to Overview of Cryogenic Operation in Nanoscale Technology Nodes

Related publications (26)

Modeling of the MOSFET for the Design of Cryo-CMOS Circuits

Edoardo Charbon, Christian Enz, Hung-Chi Han

This paper highlights some of the challenges faced in the modeling of MOSFET devices operating at cryogenic temperature (CT). It will review the most important phenomena, including the saturation of the subthreshold swing (S S) below a critical temperature ...

IEEE Computer Society2024

Towards Scalable Electronics: Synthetic 2D Materials for Large-Area 2D Circuit Integration

Zhenyu Wang

In the past decades, a significant increase of the transistor density on a chip has led to exponential growth in computational power driven by Moore's law. To overcome the bottleneck of traditional von-Neumann architecture in computational efficiency, effo ...

EPFL2024

Exploring Engineering Students' Perception of Sustainability and Ethics in Their Curriculum Across Disciplines

Valentina Rossi, Roland John Tormey, Jessica Elke Dehler Zufferey, Siara Ruth Isaac, Joelyn de Lima, Yousef Jalali

Sustainability and ethics are topics of significant, current importance in higher education. In engineering education, they take on even greater importance as engineers play a key role in addressing global issues. While multiple institutions have implement ...

2024

Reed-Muller Codes

Emmanuel Abbé

Reed-Muller (RM) codes are among the oldest, simplest and perhaps most ubiquitous family of codes. They are used in many areas of coding theory in both electrical engineering and computer science. Yet, many of their important properties are still under inv ...

Emerald2023

Channel-Aware 5G RAN Slicing with Customizable Schedulers

Haitham Al Hassanieh

This paper focuses on 5G RAN slicing, where the 5G radio resources must be divided across slices (or enterprises) so as to achieve high spectrum efficiency, fairness and isolation across slices, and the ability for each slice to customize how the radio res ...

USENIX ASSOC2023

Validating functional redundancy with mixed generative adversarial networks

Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Thanh Trung Huynh

Data redundancy has been one of the most important problems in data-intensive applications such as data mining and machine learning. Removing data redundancy brings many benefits in efficient data updating, effective data storage, and error-free query proc ...

ELSEVIER2023

Cryogenic InGaAs HEMT-Based Switches For Quantum Signal Routing

Christian Enz, Hung-Chi Han

We demonstrate cryogenic switching devices based on HEMT technology for scalable quantum computer (QC) control and readout signal routing. The switches are implemented in a quantum well network design without metal contacts between gates, and exhibit extre ...

IEEE2022

Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Mohammad Saeed Rad, Guillaume Marc Georges Vray, Devavrat Tomar

In medical image segmentation, supervised deep networks' success comes at the cost of requiring abundant labeled data. While asking domain experts to annotate only one or a few of the cohort's images is feasible, annotating all available images is impracti ...

IEEE COMPUTER SOC2022

Energy hub-based optimal planning framework for user-level integrated energy systems: Considering synergistic effects under multiple uncertainties

Chengzhou Li, François Maréchal

The design of user-level integrated energy systems is challenged by a variety of combinations of energy converters, complex cascade utilization of multiple energy flows, as well as sequential matching between stochastic energy resources and periodic energy ...

ELSEVIER SCI LTD2022

Data-based model maintenance in the era of industry 4.0: A methodology

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos

Despite the high number of investments for data-based models in the expansion of Industry 4.0, too little effort has been made to ensure the maintenance of those models. In a data-streaming environment, data-based models are subject to concept drifts. A co ...

ELSEVIER SCI LTD2022

Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models

Michel Bierlaire, Nicola Marco Ortelli

Specifying utility functions is a key step towards applying the discrete choice framework for understanding the behaviour processes that govern user choices. However, identifying the utility function specifications that best model and explain the observed ...

IEEE Institute of Electrical and Electronics Engineers2022

Recent Advances in Piezoelectric Materials for Electromechanical Transducer Applications

Dragan Damjanovic

Ferroelectricity has made a huge impact on science and technology since Joseph Valasek (then a Ph.D. student at the University of Minnesota) discovered it in 1920, a little longer than 100 years ago. Whereas Dr. Valasek's original research was motivated by ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Post-Quantum Succinct Arguments: Breaking the Quantum Rewinding Barrier

Alessandro Chiesa

We prove that Kilian's four-message succinct argument system is post-quantum secure in the standard model when instantiated with any probabilistically checkable proof and any collapsing hash function (which in turn exist based on the post-quantum hardness ...

IEEE COMPUTER SOC2022

Beam Measurements and Machine Learning at the CERN Large Hadron Collider

Frédéric Blanc, Tatiana Pieloni, Xavier Buffat, Michael Schenk

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Up to 50 dB Extinction in Broadband Single-Stage Thermo-Optic Mach-Zehnder Interferometers for Programmable Low-Loss Silicon Nitride Photonic Circuits

Michail Zervas, Michael Wolfgang Geiselmann

We demonstrate single-stage thermo-optic Si3N4 interferometers with (46.1 +/- 2.5) dB average extinction ratio over 1460-1640 nm (approximate to 50x of typical devices). We analyze performance requirements for creating reconfigurable high-quality-factor re ...

IEEE2021

Probabilistic Iterative LQR for Short Time Horizon MPC

Sylvain Calinon, Teguh Santoso Lembono

Optimal control is often used in robotics for planning a trajectory to achieve some desired behavior, as expressed by the cost function. Most works in optimal control focus on finding a single optimal trajectory, which is then typically tracked by another ...

IEEE2021

Magnetic-free Nitride Optical Isolator on Chip

Tobias Kippenberg, Junqiu Liu, Rui Ning Wang, Jijun He, Anat Siddharth, Terence Albert Emile Blésin

We demonstrated a magnetic-free optical isolator for Si3N4 photonics using AlN piezoelectric actuators. Maximum of 10 dB isolation and

IEEE2021

Continuous-wave electron-photon interactions using chip-based high-Q Si3N4 microresonator

Tobias Kippenberg, Junqiu Liu, Rui Ning Wang, Arslan Sajid Raja, Guanhao Huang

We observe CW-driven electron-photon interaction using a fiber-integrated high-Q Si3N4 microresonator, enabled by strong resonantly enhanced coupling with the confined optical mode. (C) 2021 The Author(s) ...

IEEE2021

Seismic vulnerability index method for hybrid timber-masonry structures. Numerical calibration and application to the city of Valparaiso, Chile

Savvas Saloustros

This paper presents a procedure for the extension of the Vulnerability Index Method (VIM) to the seismic assessment of hybrid timber-masonry buildings. The research is based on the execution of a detailed numerical study of this peculiar structural typolog ...

ELSEVIER2021

Historical Changes in Seasonal Aerosol Acidity in the Po Valley (Italy) as Inferred from Fog Water and Aerosol Measurements

Athanasios Nenes

Acidity profoundly affects almost every aspect that shapes the composition of ambient particles and their environmental impact. Thermodynamic analysis of gas-particle composition datasets offers robust estimates of acidity, but they are not available for l ...

AMER CHEMICAL SOC2021