Moving towards long-term sustainability for critical minerals
Professors Luis Ricardez-Sandoval and Pascal Poupart received $480K from the Bank of Montreal (BMO) and MITACS to design reinforcement learning tools for rare earth element (REE) recycling. The four-year interdisciplinary project between the Department of Chemical Engineering and Cheriton School of Computer Science will use reinforcement learning (RL) to design more efficient, sustainable recycling systems for REEs.
RREs are essential to global economies and used in a wide range of high-tech applications. They are used in the electronics, clean energy, aerospace, automotive, and defence industries to create products like cell phones, computers, batteries, MRI machines, jet craft, lasers, LEDs and more.
Canada is invested in being a global leader in critical‑mineral recycling and leveraging its resources to strengthen national security and promote economic growth. As demand for batteries, semiconductors, and clean‑energy technologies accelerates, Canada is looking beyond traditional mining.
“Eventually we’re going to run out of those mining resources, and we will need to recycle rare earth elements using advanced systems that can reduce waste, capital expenses and energy consumption,” says Ricardez-Sandoval, Director of the Chemical Process Optimization, Multiscale Modelling and Process Systems Group