Développement de procédés de dépôt par couches atomiques pour la passivation des semiconducteurs – application aux technologies photovoltaïques

Les performances des dispositifs opto-électroniques tels que les cellules photovoltaïques ou les photo transducteurs sont intrinsèquement liées aux vitesses de recombinaison des porteurs de charge sur les surfaces. Ceci est d’autant plus important que les couches actives sont fines, et que les dimensions des dispositifs sont réduites. Pour réduire les vitesses de recombinaison, il est […]

Read More
Accessibilité du quartier par la marche des plus de 60 ans: comparaison Grenoble / Montréal

Notre projet vise à aborder le vieillissement au prisme d’une approche territoriale afin de renouveler le regard à travers de questions renouvelées (qu’est-ce qui pousse les aînés à sortir marcher ? Comment un espace public est-il plus/moins accessible pour eux ?), des méthodes innovantes adaptées (cartographie, « parcours commentés », méthodes-mixtes, …) et des avenues […]

Read More
Optimized Compressed Sense Hyperpolarized 129Xe MRI

Magnetic resonance imaging (MRI) is an ideal technique for looking into the body. Lungs, however, give poor quality images due to their low water content, necessary for MRI to work. Currently the best way to image the lungs is with CT scanning, an approach using X-rays. Alternatively, people can breathe in a special inert gas […]

Read More
Hexagonal geometric mesoporous nano-ink formulation for electrochemical detection of phthalate- A chief EDC

Phthalates are plasticizers used in plastic manufacturing especially polyethylene terephthalate, and polycarbonate. This is predominantly used in food packaging, bottles, cosmetics, infant products, etc., The plastic conversion into ‘microplastics’ along with its plasticizer tends to leach out from the products and cause numerous health and environmental impacts. The major health effects imparted by dibutyl phthalate […]

Read More
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation

Using a fisheye head-mounted camera to estimate human pose in 3D has become increasingly popular in recent years due to its ability to capture activities in unconstrained environments. Egocentric 3D human pose estimation (HPE) has a number of challenges due to self-occlusions and strong distortions. Intermediate heatmap-based representations have been found to be effective in […]

Read More
UnACoRN: Understanding Affirming Communities, Relationships, and Networks

In recent years, numerous jurisdictions in the USA and Canada have enacted bans on ‘conversion’ practices, i.e., organized attempts to suppress Two-Spirit, lesbian, gay, bisexual, transgender, queer (2S/LGBTQ+), and other minoritized sexual and gender identities. In 2022, our team conducted the UnACoRN survey, a first-of-its-kind binational survey of 9,679 youth (15-29 years of age). Through […]

Read More
Performance Analysis of Northern Infrastructure Affected by Climate Change

In this project, considering the rate-dependent behavior of permafrost, a multiphysics-based hazard ??assessment tool will be developed to investigate the life-cycle performance of infrastructure subject ?to ?different seasonal climate projections and climate change scenarios. For this purpose, first, an ?advanced thermo-elasto-viscoplastic (TEVP) constitutive model is being developed based ?on the ?framework of critical state soil […]

Read More
Artificial intelligence for the prediction of variables in health

Today, thanks to microelectronics, it is possible to find technology that continuously collects data such as motion kinematics or physiological data. This type of technology is commonly referred to as wearable and therefore the scope of this project is to find methodologies based on artificial intelligence for the creation of models that can predict a […]

Read More
Impact of videos about UN SDGs on learning Ukrainian

The project “My UKRainian World” aims to create, pilot test and revise educational video resources for learners and speakers of Ukrainian, whose first or primary language is not Ukrainian. It will attempt to bring Ukrainian language video resources on par with other international languages. The current phase of the project consists of: an analysis of […]

Read More
Governing Networks, Forced Migration and Precarious Housing in the City

The “local turn” of migration policies has been more pronounced since the “refugee crisis” of 2015. Its accompanying camps, emergency shelters, and buildings occupation have put cities under the microscope, underlying the multiple interactions between homelessness and forced migration, including precarious housing and hidden forms of homelessness. Several types of networks are engaged in tackling […]

Read More
Automated Video Content Chaptering via Machine Learning

The research will focus on building a deep learning model to analyze video and audio streams of input video material, essentially creating something like a table of contents, for example: * Minutes 0-3: Introduction. Our topic is binomial coefficients. * Minutes 3-4: Problem source. * Minutes 4-6: Details of the mathematics. Calculations of values. * […]

Read More
Machine Learning for Particle Detection

The overall goal of the project is too improve the precision of CMS, a detector used in particle physics experiment. The project will focus on two aspects: improving photon and electron detection and improving jet detection (a shower of particles). In the detector, multiple particles are detected at the same time. Photons and electrons are […]

Read More