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Amir Eskanlou
Postdoctoral Scholar, Earth and Planetary Sciences
Amir specializes in mineral processing, and computational materials science. At Stanford, he explores the electronic structure of minerals, mineral-water, and mineral-reagent interfaces using AI-accelerated quantum mechanical computations. His research focuses on developing an intelligent framework for discovering and designing novel chemical reagents/ ligands that target the subtle quantum-mechanical properties of minerals/ metals. The outcomes of his work aim to enable the selective separation and extraction of critical minerals and metals from both primary and secondary resources.
In addition, Amir collaborates on AI-driven optimization and design of processing operations under uncertainty, contributing to the sustainable development of critical mineral supply chains.
In addition, Amir collaborates on AI-driven optimization and design of processing operations under uncertainty, contributing to the sustainable development of critical mineral supply chains.
Education
Ph.D., Penn State, Energy and Mineral Engineering (2024)
Ph.D. Minor, Penn State, Computational Materials Science (2024)
M.S., West Virginia University, Mineral Processing (2021)
M.S., Tarbiat Modares University, Mineral Processing (2016)
B.S., Bahonar University, Mineral Engineering (2013)
Contact
Mail Code
2115