Grants and Contributions:

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Title:

AI-driven recycling process optimization for sustainable circular processing of Li-ion batteries

Agreement Number:

1035282

Agreement Value:

$300,000.00

Agreement Date:

Sep 1, 2025 - Aug 31, 2028

Description:

The Project aims to develop rapid and accurate point-of-need (PoN) tools for real-time, on-site mineral sample analysis to enhance mineral processing efficiency and AI-guided process control. Current methods like Inductively Coupled Plasma mass spectrometry and optical emission spectroscopy are time-consuming or inaccurate. The Project first will extract and concentrate target minerals using ion-imprinted polymers and porous membrane filters to selectively capture and concentrate metal ions. This involves optimizing these materials with real hydro- or solvo-metallurgical samples. Secondly, the Project will develop portable optofluidic and bench-top electrochemical sensors for PoN detection and quantification of ions. These sensors will be integrated with sample preparation devices to create a comprehensive field-deployable system that will be tested against existing methods. The outcomes will support real-time monitoring of mineral processing reactors for efficient metal ion extraction and recycling, contributing to sustainable metal recovery and improved process parameter optimization through AI tools.

Organization:

National Research Council Canada

Expected Results:

In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.

Location:

Toronto, Ontario, CA M3J 1P3

Reference Number:

172-2025-2026-Q3-1035282

Agreement Type:

Grant

Report Type:

Grants and Contributions

Recipient Business Number:

119306736

Recipient Type:

Academia

Recipient's Legal Name:

York University

Federal Riding Name:

Humber River--Black Creek

Federal Riding Number:

35041

Program:

Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

Program Purpose:

Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.

NAICS Code:

541710