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Publications associées (33)

EdgeAI-Aware Design of In-Memory Computing Architectures

Driven by the demand for real-time processing and the need to minimize latency in AI algorithms, edge computing has experienced remarkable progress. Decision-making AI applications stand out for their heavy reliance on data-centric operations, predominantl ...

EPFL2024

Vertical and Leg Stiffness Modeling During Running: Effect of Speed and Incline

Kamiar Aminian, Frédéric Meyer, Grégoire Millet, Mathieu Pascal Falbriard

A spring mass model is often used to describe human running, allowing to understand the concept of elastic energy storage and restitution. The stiffness of the spring is a key parameter and different methods have been developed to estimate both the vertica ...

GEORG THIEME VERLAG KG2023

Diffusion timescale conundrum in contact metamorphism: Oxygen isotope and trace element profiles in dolomite

Anders Meibom, Stéphane Laurent Escrig, Lukas Baumgartner, Florence Bégué

Successful application of diffusion chronometry is based on detailed knowledge of diffusion parameters obtained from laboratory experiments, which also need to be upscaled to be applied to natural samples. While generally applicable, several examples of di ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Numerical simulation of sediment dynamics with free surface flows

Arwa Mrad

We present a numerical model for the simulation of 3D mono-dispersed sediment dynamics in a Newtonian flow with free surfaces. The physical model is a macroscopic model for the transport of sediment based on a sediment concentration with a single momentum ...

EPFL2021

Molecular Platform for Frequency Upconversion at the Single-Photon Level

Tobias Kippenberg, Christophe Marcel Georges Galland

Direct detection of single photons at wavelengths beyond 2 mu m under ambient conditions remains an outstanding technological challenge. One promising approach is frequency upconversion into the visible (VIS) or near-infrared (NIR) domain, where single-pho ...

2020

Dissolution-reprecipitation reaction of dolomite: investigation of self- and tracer-diffusion using SIMS mini-spot and NanoSIMS profiles

Anders Meibom, Stéphane Laurent Escrig, Lukas Baumgartner

Recrystallization of minerals due to fluid infiltration modifies their original chemical and isotopic signature. Such processes are sought after as they give access to timescales of geologic processes, which are commonly quantified using diffusion chronome ...

2019

Hydraulic Reconstruction of the 1818 Gietro Glacial Lake Outburst Flood

Christophe Ancey, Tomás Alfredo Trewhela Palacios, Eric Bardou, Martin Funk

In the spring of 1818, ice avalanches from the Gietro Glacier created an ice dam, which in turn formed a glacial lake in the Drance Valley (Canton of Valais, Switzerland). Today, its maximum volume is estimated to have been 25x10(6) m(3). Cantonal authorit ...

2019

Real-time DCT Learning-based Reconstruction of Neural Signals

Volkan Cevher, Cosimo Aprile, Rabeeh Karimi Mahabadi

Wearable and implantable body sensor network systems are one of the key technologies for continuous monitoring of patient’s vital health status such as temperature and blood pressure, and brain activity. Such devices are critical for early detection of eme ...

IEEE2018

What Waterfalls and Kitchen Sinks have in Common: A Comparison between Vertical and Horizontal Supported Jets

In plunging jets and at hydraulic jumps, large amounts of air bubbles are entrained at the impingement of the liquid jet and receiving body (BIN, 1993; ERVINE, 1998; CHANSON, 2009a). Air is entrapped and advected into a turbulent shear layer with strong in ...

2018

Microfluidic platforms for high-throughput mammalian cell printing, transfection, and dosage-dependent studies

Kristina Pan Woodruff

With the advent of high-throughput and genome-wide screening initiatives, there is a need for improved methods for cell-based assays. Current approaches require expensive equipment, rely on large-scale culturing formats not suited for small or rare sample ...

EPFL2017

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