OPENTECHNICAL PUBLICATION
OT-2026-000000475

Reinforcement Learning System for Optimizing Selective Extraction of Lithium from Brines

Published: 2026-09-15T19:02:56.305981Z
Permanent URL: https://opentechnical.org/p/OT-2026-000000475
Categories: Sensors, Controls & Machine Vision > Industrial Control

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ABSTRACT

According to one or more embodiments, a method, computer system, and computer
program product for optimizing extraction of lithium through reinforcement
learning are provided. The method may include receiving measurement data from
one or more sensors corresponding to a current set of operational parameters
associated with a direct lithium extraction process in one or more columns. A
physical simulation of the direct lithium extraction process is generated
based on the received measurement data and the current set of operational
parameters. A set of optimal operational parameters for the one or more
columns is identified based on the generated physical simulation. The
identified set of optimal operational parameters is configured to maximize
extraction of lithium through the direct lithium extraction process. The
current set of operational parameters is adjusted based on the identified set
of optimal operational parameters.

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OpenTechnical publication OT-2026-000000475
Published 2026-09-15T19:02:56.305981Z
https://opentechnical.org/p/OT-2026-000000475