Publications related to Polariton interactions in semiconductor microcavities

Center-aware Adversarial Augmentation for Single Domain Generalization

Domain generalization (DG) aims to learn a model from multiple training (i.e., source) domains that can generalize well to the unseen test (i.e., target) data coming from a different distribution. Single domain generalization (SingleDG) has recently emerge ...

IEEE COMPUTER SOC2023

Structure-property relationships and mixed conductivity in layered hybrid perovskites based on phenyl-derived spacers

Algirdas Ducinskas

Hybrid halide perovskites are currently one of the most studied semiconductors. However, due to poor intrinsic and extrinsic stability, further developments to commercialize devices based on hybrid halide perovskites are limited. Many different strategies ...

EPFL2022

Interaction of Confined Polaritons in Microcavity Structures

Morteza Navadeh Toupchi

A polariton is a quasiparticle formed from the coupling of a confined photon in a cavity to electronic excitation, like exciton in a semiconductor. This dissertation reports on series of experiments in confined polariton interaction by design, fabrication, ...

EPFL2021

System and methods for differential imaging using a lock-in camera

Christophe Moser, Timothé Laforest, Damien Claude-Marie Loterie, Chiara Bonati

The present invention describes an imaging system that allows visualization of a wide range of samples both in terms of morphology and in terms of material (e.g. density distribution, varying chemical composition, or anything that induces a change of optic ...

2021

Elemental and Thermo-gravimetric Characterization of Trace Metals in Leaves and Soils as Bioindicators of Pollution in Kyiv City

Christian Ludwig, Ajay Bhagwan Patil, Mohamed Tarik

In this study, leaf and soil samples were used as bio-monitors for different alkali and heavy metals at six different locations in Kyiv city. Using x–y plots of the inductively coupled plasma optical emission spectroscopy (ICP-OES) data measured the discre ...

2021

The role of demand in fostering product vs process innovation: a model and an empirical test

Gabriele Pellegrino

While the extant innovation literature has provided extensive evidence of the so-called "demand-pull" effect, the possible diverse impact of demand evolution on product vs process innovation activities has not been yet investigated. This paper develops a f ...

SPRINGER2020

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Serge Vaudenay

The maximal achievable advantage of a (computationally unbounded) distinguisher to determine whether a source

Z

is distributed according to distribution

P_0

or

P_1

, when given access to one sample of

Z

, is characterized by the statistical distance ...

Springer, Cham2020

Topology classification with deep learning to improve real-time event selection at the LHC

Roberto Castello

We show how an event topology classification based on deep learning could be used to improve the purity of data samples selected in real-time at the Large Hadron Collider. We consider different data representations, on which different kinds of multi-class ...

2019

Decarboxylative C(sp3 )−O Cross-Coupling

Xile Hu, Runze Mao, Jonathan Balon

Alkyl aryl ethers are an important class of compounds in medicinal and agricultural chemistry. Catalytic C(sp3)−O cross‐coupling of alkyl electrophiles with phenols is an unexplored disconnection strategy to the synthesis of alkyl aryl ethers, with the pot ...

2018

Sampling at unknown locations, with an application in surface retrieval

Martin Vetterli, Benjamin Bejar Haro, Adam James Scholefield, Michalina Wanda Pacholska

We consider the problem of sampling at unknown locations. We prove that, in this setting, if we take arbitrarily many samples of a polynomial or real bandlimited signal, it is possible to find another function in the same class, arbitrarily far away from t ...

2017

Polariton interactions in semiconductor microcavities

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Center-aware Adversarial Augmentation for Single Domain Generalization

Structure-property relationships and mixed conductivity in layered hybrid perovskites based on phenyl-derived spacers

Interaction of Confined Polaritons in Microcavity Structures

System and methods for differential imaging using a lock-in camera

Elemental and Thermo-gravimetric Characterization of Trace Metals in Leaves and Soils as Bioindicators of Pollution in Kyiv City

The role of demand in fostering product vs process innovation: a model and an empirical test

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Topology classification with deep learning to improve real-time event selection at the LHC

Decarboxylative C(sp3 )−O Cross-Coupling

Sampling at unknown locations, with an application in surface retrieval

Structure-property relationships and mixed conductivity in layered hybrid perovskites based on phenyl-derived spacers

Center-aware Adversarial Augmentation for Single Domain Generalization

Interaction of Confined Polaritons in Microcavity Structures

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

System and methods for differential imaging using a lock-in camera

The role of demand in fostering product vs process innovation: a model and an empirical test

Decarboxylative C(sp3 )−O Cross-Coupling

Sampling at unknown locations, with an application in surface retrieval

Topology classification with deep learning to improve real-time event selection at the LHC

Elemental and Thermo-gravimetric Characterization of Trace Metals in Leaves and Soils as Bioindicators of Pollution in Kyiv City