A multidisciplinary study for the utilization of artificial intelligence for sustainable energy production in Saskatchewan Province is proposed. In this research, the Artificial Intelligence for Energy Team of the University of Regina will use AI technology to various sustainable energy resources, which including to empower the field of nuclear energy by optimizing the reactor design […]

Dissolvable Fertilizers are an agricultural innovation with slow and controlled fertilizer release. This technology is posed to reduce application costs and lead to optimized nutrient uptake by plants. Furthermore, it promises to reduce the agricultural, carbon footprint, as the frequency and amount of fertilizer applied is decreased resulting in less environmental pollution from nutrient loss. […]

As Canada advances to a sustainable and prosperous net-zero future by 2050, investment and research into the battery industry can help accelerate progress towards net-zero emissions targets and are a vital resource to support Canadian industry and workers in seizing economic opportunities for next-generation Li-ion batteries. Li metal batteries, as one of the most promising […]

Ce projet vise à donner des expériences de stage appliqué dans le domaine de l’exploration/exploitation minière à des étudiants en géologie au niveau maîtrise. Ces stages seront accueillis par des compagnies d’exploration, d’exploitation ou de service basées au Canada à la recherche de différents types de minéralisation sur des propriétés minières dont le niveau de […]

This Mitacs Acelerate proposal is the first of three-phase project of Adriana’s Goncalves master’s thesis. For this present MITACS proposal, it will be investigated routes to extract gold, mercury and other possible valuable minerals from a representative sample of AGM tailings from Costa Rica. The tailings belong to a small Canadian company, Newlox Gold that […]

Exterra Solutions Carbone développe un procédé permettant d’extraire les MCS à partir résidus miniers et à la fois y stocker le CO2. Cette technologie innovante permettra au Québec de produire du sulfate de nickel et du sulfate de cobalt de qualité batterie pour les VE de façon carboneutre. Ce projet de recherche collaboratif entre Exterra […]

Ce projet vise à développer une voie éco-responsable de production de Nb et Ta pour leur application dans les produits de hautes technologies, y compris les batteries pour VE et hydrogène vert. Ce projet de recherche se concentre sur la production d’oxydes de niobium et de tantale à partir du gisement du projet Crevier qui […]

Sedimentary rocks undergo chemical and physical alteration as they are buried beneath Earth’s surface. Understanding these alteration processes is important in understanding the rocks potential as groundwater aquifers, in understanding the geohazards they may pose, and more. The Dawson Bay Formation is a 385-million-year-old limestone present across Saskatchewan that had a peculiar set of conditions […]

Total recordable injury rates (TRIRs) have declined significantly over the past thirty years, yet serious injuries and fatalities (SIFs) have not. With the Alberta Mine Safety Association (AMSA) and member companies, we will summarize and evaluate the leading indicators for SIFs, use subject matter experts and integrative AIML to develop and assess SIF predictive measures, […]

A substantial proportion of the lithium used in energy storage and numerous other applications is extracted from naturally occurring continental brines. The recycling of the lithium-ion batteries, which are experiencing a sharp increase in demand, also involves extraction of lithium from solutions containing other battery metals. The proposed research targets the development of sorbents for […]

The proposed research aims to use Machine Learning Methods to interpret data obtained during the Electrical Resistivity scans in the delineation of Fracking Sand deposits in Western Canada. Traditional exploration for sand deposits involves pricey and not always efficient auger and sonic drilling on the entire investigated Property. Currently, costs associated with those operations are […]

The main objective of this project is a comprehensive methodology that combines automated core characterization and AI methods to accurately forecast the geoenvironmental parameters of a deposit. By developing predictive models, this approach will enable the creation of a 3D geoenvironmental block model for the targeted deposit. This model will facilitate the prediction and optimization […]