LumiQ Automated Production: A Novel Approach to Quantum Dot Synthesis Using Machine Learning

LumiQ employs an innovative automated system that leverages a machine-learning reactor for the synthesis of Quantum Dots (QDs) and the execution of ligand exchange processes at a large scale.

This automated methodology represents a significant advancement over traditional manual techniques for QD production. By integrating machine learning with a sophisticated reactor, LumiQ plans to achieve:

• Automated QD Synthesis and Ligand Exchange: The entire process, from the initial chemical reactions to the crucial surface modification (ligand exchange), is performed automatically within the reactor.

• Machine Learning Driven Optimization: The system utilizes machine learning algorithms to continuously analyze process parameters and optimize them in real-time. This leads to enhanced control over QD properties such as size and emission wavelength.

• Large-Scale Production Capabilities: The automated nature of the system and the efficiency of the reactor design enable the production of QDs in significantly larger quantities compared to manual methods.

• Reduced Reliance on Manual Processes: By minimizing human intervention, LumiQ eliminates a major source of inconsistency in QD quality, ensuring greater uniformity across production batches.

• Significantly Lower Costs: Automation reduces labor costs, optimizes reagent usage through machine learning, and minimizes material waste, resulting in a more cost-effective manufacturing process.