Computational modelling of advanced electrocatalysts for CO2 electroreduction using DFT and machine learning.

Carbon capture and utilization (CCU), primarily the CO2 electroreduction technology, can convert CO2 into a variety of valuable products, using renewable electricity. However, the path to widespread adoption of the CO2 electroreduction technology in industrial settings is met with several challenges primarily the cost of electricity, efficiency and selectivity of the desired product. One of […]

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Advancing Systems Architecture Development Methods for Aircraft with Hydrogen-based Propulsion

Ensuring the sustainability of air transportation is a priority for the global aerospace community. Disruptive technologies, such as hydrogen-based propulsion, are promising but present significant challenges for the design and operation. One challenge for designing these future aircraft is the large number of potential architectures and the need to consider safety already in the early […]

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Automated Software Vulnerability Patching using Dynamic Symbolic Traces

Deep learning (DL) has emerged as a viable means for identifying software bugs and vulnerabilities. The success of DL relies on having a suitable representation of the problem domain. However, existing DL-based solutions for learning program representations have limitations – they either cannot capture the deep, precise program semantics or suffer from poor scalability. We […]

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The Politics of Drafting Decisions in International Organizations

Those who draft resolutions and treaties in international organizations (IOs) can significantly influence their content and acceptance. It is therefore puzzling that not all states are interested in drafting, so-called “pen-holding”. Veto powers Russia and China barely draft any United Nations Security Council (UNSC) resolutions, and in the African Union (AU), international bureaucrats or independent […]

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An improved algorithm for the discrete ordered median problem

The ordered median is an important class of facility location problem that encompasses multiple other relevant location problems as particular cases. Deepening our understanding of this problem, its mathematical properties and proposing novel methodological contributions for its solution lies at the core of this project. We will consider a recent algorithm for this problem developed […]

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Knowledge Architectures: Mapping Virtual Processes of Digital-Musical Heritagization in Formal and Grassroots Jewish Communities in Montreal

This project is an interdisciplinary investigation of the music in online communities or digitally-oriented aspects in Jewish institutions and groups based in Montreal and the surrounding area. This project fully supports the intern’s career growth by stimulating a rich inquiry into the diversity of the intangible heritage of Jewish Montreal; in so doing it is […]

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Exploring the Methods and Mechanisms of Prosocial Development in Middle Childhood

Prosocial behaviors (i.e., acts that benefit others) appear early in human development and are associated with numerous positive developmental outcomes. Despite decades of research, the mechanisms underlying childhood prosociality remain relatively unclear. To further the field of prosocial development, an international and multi-institutional collaboration led by three prominent prosocial behavior researchers (Kristen Dunfield, Markus Paulus, […]

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Hydrothermal Deoxygenation of Triglyceride aided by in-situ Hydrogen Production from Glycerol Reforming

Nowadays, many studies are engaged in improving sustainable aviation fuel (SAF) technologies to advance the utilization of cleaner energy sources and aviation fuels. However, as of today, SAF accounts for less than 1% of jet fuel consumption due to production costs associated with feedstocks, catalysts, and renewable hydrogen. Our project focuses on lowering SAF production […]

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Leak Detection with Economics-Driven Convolutional Neural Networks applied to German cities and benchmarking with previous studies

This project aims to employ cutting-edge deep learning models to address the critical issue of water leakage in water distribution networks (WDNs). Leakage in WDNs leads to significant water wastage, infrastructure damage, service disruption, and even contamination. The proposed approach leverages Convolutional Neural Networks (CNNs) trained explicitly for optimizing leak detection. Using synthetic datasets that […]

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Incorporation of municipal solid wastes for the development of an efficient CO2 utilization polygeneration process

This project deals with designing an efficient polygeneration process that incorporates municipal solid waste (MSW) drying and conversion to syngas process for reducing the load on the hydrogen unit of carbon capture and utilization (CCU) processes. The main benefit of this system is the production of high-pressure steam and high-quality syngas with minimum greenhouse gas […]

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Étude sur le défaut septal ventriculaire – L’impact de la patient-spécificité sur des accidents de la route

Ce projet étudiera l’impact des accidents de route et les mécanismes associés à la communication interventriculaire post-traumatique. Deux théories dominantes ont été décrites: 1) une compression aiguë du cœur entre le sternum et la colonne vertébrale, entraînant une augmentation soudaine de la pression intracardiaque à la fin de la diastole ou de la systole isovolumétrique, […]

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