Amir Eskanlou

Amir specializes in mineral processing and computational materials science. He has worked on flowsheet and technology development and optimization for the extraction of critical minerals including copper, phosphate, graphite, and rare earth minerals. At Stanford, he investigates the electronic structure of critical minerals and their interfaces with water and chemical reagents using quantum mechanical computations and artificial intelligence (AI). Amir's research focuses on developing an intelligent framework to discover, design, and validate novel reagents that enable selective and sustainable recovery of critical materials from primary and secondary resources.
In addition, Amir collaborates on AI-driven optimization and design of mineral processing operations under uncertainty.