How we made the 2D transistor

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This paper establishes the close relation that exists between the Fano noise suppression factor F and the Gm/ID FoM showing that F is proportional to the product of the thermal noise excess factor γn and the normalized Gm/ID function. Taking advantage of t ...

We investigate the problem of fluid injection at constant pressure in a 2D Discrete Fracture Network (DFN) with randomly oriented and uniformly distributed frictionally-stable fractures. We show that this problem shares similarities with the simpler scenar ...

It is well established that surface topography can affect cell functions. However, finding a reproducible and reliable method for regulating stem cell behavior is still under investigation. It has been shown that cell imprinted substrates contain micro- an ...

Background and objectives: Parameter estimation and uncertainty quantification are crucial in computa-tional cardiology, as they enable the construction of digital twins that faithfully replicate the behavior of physical patients. Many model parameters reg ...

Human hands play a very important role in daily object manipulation. Current prosthetic hands are capable of mimicking most functions of the human hand, but how to interact with prosthetic hands based on human intentions remains an open problem. In this ar ...

Cemented granular materials are abundant in nature and are often artificially produced. Their macroscopic behaviour is driven by small-scale material processes, which are generally classified as: grain breakage, cement damage and fragment rearrangement. Th ...

The use of molecular dynamics (MD) simulations has led to promising results to unravel the atomistic origins of adhesive wear, and in particular for the onset of wear at nanoscale surface asperities. However, MD simulations come with a high computational c ...

Most available studies on distributed GAN architectures focus on implementations with a fusion center. In this work, we propose a fully decentralized scheme by employing a diffusion strategy to train a network of GANs. We interpret the training procedure a ...

Since polar were ratified as part of the 5G standard, low-complexity polar decoders with close-to-optimum error-rate performance have received significant attention. Compared to successive cancellation (SC) decoding, both SC list and SC flip decoding can i ...

With the increasing amount of available data and advances in computing capabilities, deep neural networks (DNNs) have been successfully employed to solve challenging tasks in various areas, including healthcare, climate, and finance. Nevertheless, state-of ...

During the design phase of an aircraft manufacturing system, different industrial scenarios need to be evaluated according to key performance indicators to achieve the optimal system performance. It is a highly complex process involving multidisciplinary s ...

Implantable electronic medical devices that operate in closed-loop allow efficient neuro-modulation. Area and power are to be carefully balanced to improve the system autonomy and safety. New digital modulation schemes with implementation in the front-end ...

Driven by the need to solve increasingly complex optimization problems in signal processing and machine learning, there has been increasing interest in understanding the behavior of gradient-descent algorithms in non-convex environments. Most available wor ...

High-level synthesis (HLS) frameworks allow to easily specify a large number of variants of the same hardware design by only acting on optimization directives. Nonetheless, the hardware synthesis of implementations for all possible combinations of directiv ...

This article devises a photograph-based monitoring model to estimate the real-time PM2.5 concentrations, overcoming currently popular electrochemical sensor-based PM2.5 monitoring methods' shortcomings such as low-density spatial distribution and time dela ...

The behavioral revisions to the design are frequent in the late stage of the semiconductor chip development. Quite often, their realization emphasizes incrementality that seeks minimum perturbation of the existing implementation. This tutorial paper poses ...

We demonstrate piezoelectric actuators monolithically integrated on ultralow-loss Si3N4 waveguides. Varying the voltage applied on the actuator allows tuning the microresonator, and is used to initiate, switch, stabilize and tightly phase lock the single s ...

Total ionizing dose (TID) mechanisms are investigated in 28-nm MOSFETs via dc static and low-frequency noise measurements. nMOSFETs and pMOSFETs are irradiated up to 1 Grad(SiO2) and annealed at high temperatures. TID sensitivity depends on the channel len ...

This work examines a distributed learning problem where the agents of a network form their beliefs about certain hypotheses of interest. Each agent collects streaming (private) data and updates continually its belief by means of a diffusion strategy, which ...

In this work we address the issue of validating the monodomain equation used in combination with the Bueno-Orovio ionic model for the prediction of the activation times in cardiac electro-physiology of the left ventricle. To this aim, we consider four pati ...

How we made the 2D transistor

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The Fano Noise Suppression Factor and the Gm/ID FoM

Injection-Induced Aseismic Slip in Tight Fractured Rocks

Engineered substrates incapable of induction of chondrogenic differentiation compared to the chondrocyte imprinted substrates

Fast and robust parameter estimation with uncertainty quantification for the cardiac function

Sonomyographic Prosthetic Interacion: Online Simultaneous and Proportional Control of Wrist and Hand Motions Using Semisupervised Learning

Micromechanically inspired investigation of cemented granular materials: part I-from X-ray micro tomography to measurable model variables

Adhesive wear with a coarse-grained discrete element model

Decentralized Gan Training Through Diffusion Learning

Dynamic SCL Decoder With Path-Flipping for 5G Polar Codes

Adversarial training with informed data selection

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

Implantable Neuro-Modulation Devices and Technology

Distributed Learning in Non-Convex Environments-Part I: Agreement at a Linear Rate

DB4HLS: A Database of High-Level Synthesis Design Space Explorations

PM2.5 Monitoring: Use Information Abundance Measurement and Wide and Deep Learning

Learning to Automate the Design Updates From Observed Engineering Changes in the Chip Development Cycle

Monolithic piezoelectric control of integrated soliton microcombs

Ionizing-Radiation Response and Low-Frequency Noise of 28-nm MOSFETs at Ultrahigh Doses

Interplay Between Topology and Social Learning Over Weak Graphs

Integration of activation maps of epicardial veins in computational cardiac electrophysiology