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Reversible and Broad-Range Oxygen Sensing Based on Purely Organic Long-Lived Photoemitters

Publications associées (30)

The Power of Two Matrices in Spectral Algorithms for Community Recovery

Spectral algorithms are some of the main tools in optimization and inference problems on graphs. Typically, the graph is encoded as a matrix and eigenvectors and eigenvalues of the matrix are then used to solve the given graph problem. Spectral algorithms ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Spectral Estimators for High-Dimensional Matrix Inference

Farzad Pourkamali

A key challenge across many disciplines is to extract meaningful information from data which is often obscured by noise. These datasets are typically represented as large matrices. Given the current trend of ever-increasing data volumes, with datasets grow ...

EPFL2024

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Alireza Karimi, Mert Eyuboglu, Nathan Russell Powell

This paper proposes a data-driven control design method for nonlinear systems that builds upon the Koopman operator framework. In particular, the Koopman operator is used to lift the nonlinear dynamics to a higher-dimensional space where the so-called obse ...

2024

Additive Manufacturing of Bioinspired Mineral-Based Composites

Ran Zhao

Biominerals are used by natural organisms for example as structural supports and optical sensors. They are produced from a limited number of elements and under ambient conditions. Nevertheless, they often possess excellent mechanical properties and sometim ...

EPFL2024

Random matrix methods for high-dimensional machine learning models

Antoine Philippe Michel Bodin

In the rapidly evolving landscape of machine learning research, neural networks stand out with their ever-expanding number of parameters and reliance on increasingly large datasets. The financial cost and computational resources required for the training p ...

EPFL2024

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

We propose a novel approach to evaluating the ionic Seebeck coefficient in electrolytes from relatively short equilibrium molecular dynamics simulations, based on the Green-Kubo theory of linear response and Bayesian regression analysis. By exploiting the ...

Amer Chemical Soc2024

Augmenting locomotor perception by remapping tactile foot sensation to the back

Olaf Blanke, Mohamed Bouri, Oliver Alan Kannape, Atena Fadaeijouybari, Selim Jean Habiby Alaoui

Background :Sensory reafferents are crucial to correct our posture and movements, both reflexively and in a cognitively driven manner. They are also integral to developing and maintaining a sense of agency for our actions. In cases of compromised reafferen ...

BioMed Central2024

A model for the consolidation of hybrid textiles considering air entrapment, dissolution and diffusion

Véronique Michaud, Vincent Werlen, Christian Rytka

A new model is proposed for the consolidation of hybrid textiles, in which air entrapment and dissolution are considered. One of the key parameters is tow permeability, which is described by the analytical model of Gebart and validated at very high fibre v ...

ELSEVIER SCI LTD2023

Semiconductor-based device architectures in multimaterial fibers

William Nicolas Duncan Esposito

Semiconductor materials have given rise to today's digital technology and consumer electronics. Widespread adoption is closely linked to the ability to process and integrate them in devices at scale. Where flexibility and large surfaces are required, such ...

EPFL2023

Reversible and Broad-Range Oxygen Sensing Based on Purely Organic Long-Lived Photoemitters

The Power of Two Matrices in Spectral Algorithms for Community Recovery

Spectral Estimators for High-Dimensional Matrix Inference

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Additive Manufacturing of Bioinspired Mineral-Based Composites

Random matrix methods for high-dimensional machine learning models

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Augmenting locomotor perception by remapping tactile foot sensation to the back

A model for the consolidation of hybrid textiles considering air entrapment, dissolution and diffusion

Semiconductor-based device architectures in multimaterial fibers

Graph Chatbot

The Power of Two Matrices in Spectral Algorithms for Community Recovery

Spectral Estimators for High-Dimensional Matrix Inference

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Additive Manufacturing of Bioinspired Mineral-Based Composites

Random matrix methods for high-dimensional machine learning models

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Augmenting locomotor perception by remapping tactile foot sensation to the back

A model for the consolidation of hybrid textiles considering air entrapment, dissolution and diffusion

Semiconductor-based device architectures in multimaterial fibers

Recyclable flame retardant phosphonated epoxy based thermosets enabled via a reactive approach

Recyclable flame retardant phosphonated epoxy based thermosets enabled via a reactive approach