Monolithic piezoelectric control of integrated soliton microcombs

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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 ...

Time series analysis has proven to be a powerful method to characterize several phenomena in biology, neuroscience and economics, and to understand some of their underlying dynamical features. Several methods have been proposed for the analysis of multivar ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

The recently synthesized Ag3LiIr2O6 has been proposed as a Kitaev magnet in proximity to the quantum spin liquid phase. We explore its microscopic Hamiltonian and magnetic ground state using many-body quantum chemistry methods and exact diagonalization tec ...

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 ...

We present a validation of the Dark Energy Survey Year 3 (DES Y3) 3 x 2-point analysis choices by testing them on BUZZARD2.0, a new suite of cosmological simulations that is tailored for the testing and validation of combined galaxy clustering and weak-len ...

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 ...

MEMS enable low power tuners in silicon photonics, but existing phase shifters lack in range, speed, and loss. We implement a 2 pi phase shifter with a 1.54 mu s time constant and 0.5 dB insertion loss in IMEC's iSiPP5OG platform. ...

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 ...

Monolithic piezoelectric control of integrated soliton microcombs

Chattez avec Graph Search

The Fano Noise Suppression Factor and the Gm/ID FoM

Injection-Induced Aseismic Slip in Tight Fractured Rocks

Piezoelectric thin films for MEMS

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

Higher-order organization of multivariate time series

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

Adhesive wear with a coarse-grained discrete element model

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

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

Decentralized Gan Training Through Diffusion Learning

Adversarial training with informed data selection

Intercalant-mediated Kitaev exchange in Ag3LiIr2O6

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

Dark Energy Survey Year 3 results: Cosmology from combined galaxy clustering and lensing validation on cosmological simulations

How we made the 2D transistor

Implantable Neuro-Modulation Devices and Technology

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

Silicon photonic MEMS phase shifter with mu s time constant built on a foundry platform

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