Laws of physics combined with computational prowess has allowed us to simulate biological processes at a molecular level, which have a wide range of applications which include guiding experimental observations, designing drugs with molecular precision, and improving bio-sensor technology. However, the existing models use approximations that that limit scope of their applicability, due to the […]

La prévision des apports en eau dans les bassins versants du parc de production d’Hydro-Québec est très importante car elle permet de quantifier la production hydro-électrique. Pour faire ces prévisions, on utilise des modèles hydrologiques qui sont alimentés par plusieurs données climatiques dont les plus importantes sont les précipitations. Une meilleure prévision repose sur la […]

Extensive development in south Etobicoke resulted in creeks historically viewed as a nuisance being buried, culverted or piped underground. However, creeks don’t just disappear, during large rainfall or snowmelt events. These buried creeks have been found to be a catalyst for flooding and reduce water quality because of reductions in storage and absorption of stormwater […]

Petroleum coke (PC) is a by-product of the extraction of crude oil from the Oil Sands in northern Alberta and has been shown to effectively remove total acid-extractable organics from oil sands process-affected water. This treatment may also lead to an increase in some heavy metals in the treated water and it is important to […]

This internship aims at advancing the use of inductively coupled plasma (ICP) tandem mass spectrometry (MS/MS) for the analysis of clinical samples (including whole blood) and of materials used by the semiconductor industry during their manufacturing process. The complexity of biological samples indeed limits the broad use of conventional inductively coupled plasma mass spectrometry (ICPMS) […]

This research is focused on understanding the microscopic mechanisms of lithium ion dynamics in novel solid-state electrolyte materials, which have a wide array of potential applications ranging from electric vehicle batteries to grid storage of renewable energy. A major gap in the development of all-solid-state batteries, which will be safer and more energy-dense than state-of-the-art […]

In this internship, UNS-Tech will partner with Profs. Cynthia Goh and David McMillen to use UNS-Tech’s electronic detection technology to detect molecules, including proteins, polymer nanoparticles and DNA, that are of interest in their research. UNS-Tech’s state-of-the-art electronics-based detectors for HPLC and gel electrophoresis will be employed in Prof. Goh’s and Prof. McMillen’s labs, respectively. […]

Of late, the leaching of doped cations present in oxygen evolution electrocatalysts is reported to enhance oxygen evolution reaction performances. It is suggested that the enhancement is attributed to the increased roughness and modified composition of electrocatalyst surfaces during the dissolution of the cations. The detailed understanding of the enhancement has yet to be disclosed. […]

Salt marshes provide many services including nursery habitat for birds and fish, nutrient export to sun’ounding coastal areas, and sheltering coasts from sea level rise and storm activity. In Atlantic Canada, there is strong interest in salt marsh restoration. A study was instigated by Ducks Unlimited Canada in 20 lOin the Bay of Fundy to […]

Canonical methods of molecular discovery and reaction optimization rely on “trial-and-error” approaches and slow experimentation with low discovery rates. By harnessing high-throughput experimentation (HTE) with machine learning (ML) methods, artificial intelligence (AI) and robotics, we have the potential to dramatically accelerate the discovery and preparation of next generation molecules and materials. We will extract, unify, […]

Canonical methods of molecular discovery and reaction optimization rely on “trial-and-error” approaches and slow experimentation with low discovery rates. By harnessing high-throughput experimentation (HTE) with machine learning (ML) methods, artificial intelligence (AI) and robotics, we have the potential to dramatically accelerate the discovery and preparation of next generation molecules and materials. We will extract, unify, […]

Le site aurifère Méliadine au Canada (NU) est la propriété d’Agnico Eagle Mines (AEM). Il est envisagé au début des opérations minières prévues à l’horizon 2017 qu’une partie des rejets de traitement du minerai soient réacheminés vers les galeries de mine exploitées, dans un mélange avec de l’eau et du ciment. Cette technique du remblai […]