Publications related to Biocompatible multi-layered structure comprising foam layers and a functional interface

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

In this paper, we propose a reduced-order modeling strategy for two-way Dirichlet-Neumann parametric coupled problems solved with domain-decomposition (DD) sub-structuring methods. We split the original coupled differential problem into two sub-problems wi ...

Springer/Plenum Publishers2024

Experimental and ab initio derivation of interface stress in nanomultilayered coatings: Application to immiscible Cu/W system with variable in-plane stress

Claudia Cancellieri, Pandula Manura Liyanage, Giacomo Lorenzin

Interface stress is a fundamental descriptor for interphase boundaries and is defined in strict relation to the interface energy. In nanomultilayers with their intrinsically high interface density, the functional properties are dictated by the interface st ...

Elsevier2024

Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study

Anthony Marchand, Bruno Emanuel Ferreira De Sousa Correia, Emmanuel Doram Levy, Xiao Wang

Reliably scoring and ranking candidate models of protein complexes and assigning their oligomeric state from the structure of the crystal lattice represent outstanding challenges. A community-wide effort was launched to tackle these challenges. The latest ...

2023

Automated music composition and generation system and method

Florian François Colombo

An automated music composition and generation system for automatically harmonizing digital pieces of music using an automated music composition and generation engine for multi-voice music harmonization, including a system-user interface configured to input ...

2023

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Sahand Jamal Rahi, Kseniia Korchagina

Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging in behaving animals if the brain moves and deforms. The traditional approach is to train a convolutional n ...

Nature Portfolio2023

E-Scan: Consuming Contextual Data with Model Plugins

Anastasia Ailamaki, Viktor Sanca

Extracting value and insights from increasingly heterogeneous data sources involves multiple systems combining and consuming the data. With multi-modal and context-rich data such as strings, text, videos, or images, the problem of standardizing the data mo ...

2023

SporTran: A code to estimate transport coefficients from the cepstral analysis of (multivariate) current time series

Loris Ercole

SporTran is a Python utility designed to estimate generic transport coefficients in extended systems, based on the Green-Kubo theory of linear response and the recently introduced cepstral analysis of the current time series generated by molecular dynamics ...

ELSEVIER2022

Development of a Transient Neural Interface for Minimally Invasive Recording and Stimulation

Adele Fanelli

Transient electronics enabling devices to safely disappear in the environment can be applied not only in green electronics, but also in bioelectronic medicine. Neural implants able to degrade harmlessly inside the body eliminate the need for removal surger ...

EPFL2022

Characterization and prediction of peptide structures on inorganic surfaces

Dmitrii Maksimov

Interfaces between peptides and metallic surfaces are the subject of great interest for possible use in technological and medicinal applications, mainly since organic systems present an extensive range of functionalities, are abundant, cheap, and exhibit l ...

EPFL2022

Design standards for icons: The independent role of aesthetics, visual complexity and concreteness in icon design and icon understanding

Nicolas Henchoz, Andreas Sonderegger, Romain Simon Collaud

Icons play an important role in modern interfaces and therefore recent empirical research has focused on enhancing icon processing — that is, icon perception and icon function understanding. However, in existing sets, icons vary simultaneously across diffe ...

2022

Sensor-based control strategies for integration of epidural electrical stimulation in rehabilitation after spinal cord injury

Miroslav Caban

Spinal Cord Injury (SCI) results in damage to neural circuitry connecting the brain to the periphery. Consequently, sensory and motor function is lost, to varying degree, depending on the site and severity of the lesion. More than half of spinal cord injur ...

EPFL2022

Neural Design Space Exploration

Pierre Dillenbourg, Kevin Gonyop Kim, Wei Jiang, Richard Lee Davis

We have developed a new tool that makes it possible for people with zero programming experience to intentionally and meaningfully explore the latent space of a GAN. This tool was developed to provide a means for designers to explore the "design space" of t ...

2021

Wearable Haptic Interfaces for Telerobotics

Vivek Ramachandran

Telerobotics is the process by which human operators control the movement of robots to achieve specific tasks. However, conventional control interfaces, such as joysticks and remote controllers, are not intuitive to use for novice users. Training to use th ...

EPFL2021

On the non-existence of stepped-pressure equilibria far from symmetry

Joaquim Loizu Cisquella

The Stepped Pressure Equilibrium Code (SPEC) (Hudson et al 2012 Phys. Plasmas 19 112502) has been successful in the construction of equilibria in 3D configurations that contain a mixture of flux surfaces, islands and chaotic magnetic field lines. In this m ...

2021

The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation

Dario Floreano, Matteo Macchini, Manana Lortkipanidze, Fabrizio Schiano

The operation of telerobotic systems can be a challenging task, requiring intuitive and efficient interfaces to enable inexperienced users to attain a high level of proficiency. Body-Machine Interfaces (BoMI) represent a promising alternative to standard c ...

2021

A Software Tool for the Real-Time in Vivo Evaluation of Neural Electrodes' Selectivity

Silvestro Micera, Stanisa Raspopovic, Francesco Maria Petrini, Ivo Strauss, Daniela De Luca

High neural selectivity is an important indicator of how well a neural electrode will perform in a clinical setup. Among other factors, neural selectivity of an electrode strongly depends on its implant location. Today, the neural selectivity is evaluated ...

IEEE2021

Common workflows for computing material properties using different quantum engines

Sebastiaan Philippe Huber, Nicola Marzari, Gian-Marco Rignanese, Giovanni Pizzi, Aliaksandr Yakutovich, Berend Smit, Martin Uhrin, Conrad Johnston, Austin Jacob Zadoks, Samuel Poncé, Kristjan Eimre, Marnik Bercx, Christopher John Sewell

The prediction of material properties based on density-functional theory has become routinely common, thanks, in part, to the steady increase in the number and robustness of available simulation packages. This plurality of codes and methods is both a boon ...

2021

Surface energy contributions to the work of infiltration in metal matrix composite processing

Andreas Mortensen, Gionata Schneider

The work needed to mechanically drive molten metal into a porous solid preform when producing a composite material by infiltration can significantly exceed the energy change required for thermodynamically reversible infiltration. We measure, by quantitativ ...

2021

Automated Analysis of Cerebrospinal Fluid Flow and Motile Cilia Properties in The Central Canal of Zebrafish Embryos

François Gallaire, Ludovic Pierre Gustave Keiser

Circulation of cerebrospinal fluid (CSF) plays an important role during development. In zebrafish embryo, the flow of CSF has been found to be bidirectional in the central canal of the spinal cord. In order to compare conditions and genetic mutants across ...

BIO-PROTOCOL2021

Personalized Body-Machine Interfaces for Advanced Human-Robot Interaction

Matteo Macchini

Robotic systems are becoming more and more pervasive in modern industrial, scientific and personal activities through recent years and will play a fundamental role in the future society. Despite their increasing level of automation, teleoperation is still ...

EPFL2021