Publications associées à R&D offshoring and home industry productivity

Publications associées (25)

A compact approach to higher-resolution resonant inelastic x-ray scattering detection using photoelectrons

The detection of inelastically scattered soft x-rays with high energy resolution usually requires large grating spectrometers. Recently, photoelectron spectrometry for analysis of x-rays (PAX) has been rediscovered for modern spectroscopy experiments at sy ...

Iop Publishing Ltd2024

High brightness neutron source optimized for very high pulsed magnetic field experiments

Mina Akhyani

Conducting neutron scattering experiments in the presence of high pulsed magnetic fields, namely above 40 T, provides valuable information about the magnetic structures of materials. However, these experiments are challenging and time-consuming because the ...

EPFL2024

Measurement of the 171Tm beta spectrum

Lesya Shchutska, Maarten Willibrord Uriël Van Dijk, Alexey Boyarsky

The beta spectrum of the main transition of the 171Tm was measured using a double focalizing spectrometer. The instrument was lately improved in order to reduce its low energy threshold to 34 keV. We used the spectrometer to measure the energy end-point of ...

2023

Design and construction of a microfluidics workstation for high-throughput multi-wavelength fluorescence and transmittance activated droplet analysis and sorting

Christoph Merten, Jatin Panwar, Alexis Louis Autour

Droplet microfluidics has revolutionized quantitative high-throughput bioassays and screening, especially in the field of single-cell analysis where applications include cell characterization, antibody discovery and directed evolution. However, droplet mic ...

NATURE PORTFOLIO2023

Observation of non-reciprocal harmonic conversion in real sounds

Romain Christophe Rémy Fleury, Hervé Lissek, Xinxin Guo

Reciprocity guarantees that in most media, sound transmission is symmetric between two points of space when the location of the source and receiver are interchanged. This fundamental law can be broken in non-linear media, often at the cost of detrimental i ...

2023

Aerosol optical absorption coefficients at seven wavelengths in 10 min resolution measured in the Swiss container during MOSAiC 2019/2020

Julia Schmale, Ivo Fabio Beck, Lubna Dada, Benjamin Jérémy Laurent Heutte

This dataset contains aerosol optical absorption coefficients at seven different wavelengths (babs(λ)), averaged to 10 min time resolution, measured during the year-long MOSAiC expedition from October 2019 to September 2020. The measurements were performed ...

Zenodo2023

Impact of substrate clogging on vertical connectivity

Giovanni De Cesare, Robin Schroff, Romain Maxime Dubuis

Connectivity between the hyporheic zone and the flow is essential for the development of benthos and the reproductive success of spawning fish. The infiltration of fine sediment leads to clogging of the riverbed, reducing porosity and vertical water exchan ...

2023

Advancing atomic force microscopy through open source instrumentation

Mustafa Kangül

Atomic force microscopy (AFM), a member of the scanning probe microscopy (SPM) family, holds a unique position as a nano-characterization instrument in the fields of physics, chemistry, and biology. Its ability to provide atomic resolution and operate in v ...

EPFL2023

Comparing the psychometric properties of two primary school Computational Thinking (CT) assessments for grades 3 and 4: The Beginners' CT test (BCTt) and the competent CT test (cCTt)

Barbara Bruno, Jessica Elke Dehler Zufferey, Laila Abdelsalam El-Hamamsy

Introduction: With the increasing amount of research around Computational Thinking (CT) and endeavors introducing CT into curricula worldwide, assessing CT at all levels of formal education is of utmost importance to ensure that CT-related learning objecti ...

Frontiers Media2022

UAV in the advent of the twenties: Where we stand and what is next

Jan Skaloud, Davide Antonio Cucci

The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades, making them popular instruments for a wide range of applications, and leading to a remarkable number of scientific contributions in geoscience, remote sensing and engineering. H ...

2022

Equivalent black carbon concentration in 10 minutes time resolution, measured in the Swiss container during MOSAiC 2019/2020

Julia Schmale, Ivo Fabio Beck, Lubna Dada, Benjamin Jérémy Laurent Heutte

This dataset contains equivalent black carbon (eBC) concentrations, averaged to 10 min time resolution, measured during the year-long MOSAiC expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-dec ...

Zenodo2022

Health data privacy through homomorphic encryption and distributed ledger computing: an ethical-legal qualitative expert assessment study

Marcello Ienca

Background: Increasingly, hospitals and research institutes are developing technical solutions for sharing patient data in a privacy preserving manner. Two of these technical solutions are homomorphic encryption and distributed ledger technology. Homomorph ...

BMC2022

Influence of amount of shear reinforcement and its post-yield response on the shear resistance of reinforced concrete members

Aurelio Muttoni, Miguel Fernández Ruiz, Frédéric Monney

The minimum amount of shear reinforcement to be provided in reinforced concrete members has been a topic of debate and research for decades without reaching a consensus. Defining such values is however instrumental to build in an economic manner and to saf ...

ERNST & SOHN2022

Praxisorientierte Forschung im Bereich Wasserbau und Ökologie [Practice-oriented research in hydraulic engineering and ecology]

Giovanni De Cesare

Wasserbau und Ökologie (W&Ö) ist ein schweizweites Forschungsprogramm zu den Themen Renaturierung, Biodiversitätsförderung, Wassernutzung und Naturgefahren im Bereich von Fliessgewässern und den davon direkt beeinflussten Mündungsbereichen und Ufern der Se ...

ETH2021

Beyond Tolerance Factor: Using Deep Learning for Prediction Formability of ABX3 Perovskite Structures

Mohammad Khaja Nazeeruddin, Tom Theodorus Antonius Lummen, Valentin Ianis Emmanuel Queloz, Alexander Fedorovskiy

Deep learning (DL) is a modern powerful instrument for multiple purposes, including classification. In this study, this technique is applied to the task of perovskites formability. A commonly known perovskite dataset is used to try to make an instrument su ...

2021

Concerning the research “Material history of the built environment and the conservation project” (2008–2020), methodology and results

Franz Graf, Giulia Marino

Recent successes in the reuse and rehabilitation of 20th century architecture have shown that design begins with the study of history. Study of the material history of built structures, together with historical and critical investigation, supported by diag ...

CRC Press/Balkema2021

Concerning the research “Material history of the built environment and the conservation project” (2008–2020), methodology and results

Franz Graf, Giulia Marino

Recent successes in the reuse and rehabilitation of 20th century architecture have shown that design begins with the study of history. Study of the material history of built structures, together with historical and critical investigation, supported by diag ...

CRC Press/Balkema - Taylor & Francis2021

Reinforcement Learning and Hardware in the Loop for Localized Vibrotactile Feedback in Haptic Surfaces

Yves Perriard, Paolo Germano, Xiaotao Ren, Camilo Hernandez Mejia, Marc Michel Charles Favier

Touch is commonly used to mediate human-machine interactions, notably in the setting of Digital Musical Instruments (DMIs), where touch screens are prevalent. The lack of rich haptic feedback has an impact on the richness and quality of the interaction. Pi ...

IEEE2021

A gas phase approach for glycan analysis: Combining ultrahigh-resolution ion mobility spectrometry with cryogenic vibrational spectroscopy

Ahmed Ben Faleh

The last decades have been punctuated by the development of revolutionary analytical technologies that have enabled the analysis of biomolecular structures and unraveled the roles they play in biological systems. However, certain classes of biomolecules re ...

EPFL2021

Flexure-based mecano-optical multi-degree-of-freedom transducers dedicated to medical force sensing instruments

Sebastian Krzysztof Fifanski

This thesis develops novel multi-degrees-of-freedom flexure-based force sensors by exploiting white light interferometry. Fabry-Pérot interferometry measurement has nanometric accuracy which yields sub milli-Newton force sensing accuracy. Such force sensin ...

EPFL2020