Advanced Materials Research Facility - National Research Council Canada (NRC Mississauga)

February 15, 2022

The NRC’s newly established Advanced Materials Research Facility in Mississauga is a new hub for collaboration in advanced materials R&D with key collaborators from other government departments, academia and the private sector. The co-located NRC & NRCan teams of research specialists in chemistry, materials science, engineering, AI, and robotics will adopt a new way of conducting research to address challenges in advanced materials development and commercialization.

Watch this inspiring video

Chemspeed offers highly innovative, high-throughput and high-output solutions which automate and enable alternative energy R&D without compromise by using concepts designed for chemists by chemists in areas such as the development (synthesis, formulation, application, testing) of alternative energy solutions providing innovative materials for e.g.

  • batteries (cathode materials, electrolytes, separators) – fractional compositional mapping pivotal for boosting robustness and performance
  • solar cells (organic, inorganic, hybrid photovoltaics) – fractional compositional mapping pivotal for boosting robustness and performance
  • fuel cells (e.g. supported non-precious metal catalysts)
  • mobile and stationary storages (e.g. porous materials)

Other Recent News

Discover more news articles you might be interested in

Read more about High-throughput solid microsampling through stochastic robotic automation
News Picture 1 1 V2
Featured
Jul
14

High-throughput solid microsampling through stochastic robotic automation

Solid sampling at the sub-milligram and milligram scale remains a major bottleneck for high-throughput chemistry or material sciences, as existing approaches rely on manual handling or slow deterministic microsampling that do not readily scale.

Here we present STORMS, an automated STOchastic Robotic MicroSampling system that enables fast, reliable and parallel sampling of solid materials at sub-milligram and milligram masses. 

Read more about Parameter efficient multi-model vision assistant for polymer solvation behaviour inference
News Picture 1 1 V2
Jun
30

Parameter efficient multi-model vision assistant for polymer solvation behaviour inference

Polymer–solvent systems exhibit complex solvation behaviours encompassing a diverse range of phenomena, including swelling, gelation, and dispersion. Accurate interpretation is often hindered by subjectivity, particularly in manual rapid screening assessments. While computer vision models hold significant promise to replace the reliance on human evaluation for inference, their adoption is limited by the lack of domain-specific datasets tailored, in our case, to polymer–solvent systems.

Read more about Continuous Flow Synthesis of Diglycolamides for Rare-Earth Elements Recovery: Algorithm-Accelerated Reaction Optimization Coupled with Automated Extraction Evaluation
News Picture 1 1 V2
Featured
Jun
23

Continuous Flow Synthesis of Diglycolamides for Rare-Earth Elements Recovery: Algorithm-Accelerated Reaction Optimization Coupled with Automated Extraction Evaluation

A first example of diglycolamide flow synthesis was developed, showcasing algorithm-accelerated reaction optimization and its potential to accelerate ligand discovery and enable autonomous, AIcontrolled manufacturing of critical materials. The increasing demand for manufacturing rare-earth elements (REEs) as critical materials has intensified research on sustainable synthesis of advanced extractants such as diglycolamides (DGAs).

© Chemspeed (part of Bruker) 2026