Strategies for High-Throughput, Templated Zeolite Synthesis
Ligang Chen, Michael W. Deem
TL;DR
This paper presents a model and evaluation of high-throughput experimental strategies for zeolite synthesis, emphasizing multi-round protocols and the use of prior information to optimize outcomes.
Contribution
It introduces a new model linking zeolite composition and synthesis agents, and assesses various Monte Carlo-like protocols for improved high-throughput design.
Findings
Multi-round protocols are highly effective.
Strategies leveraging prior information outperform others.
The model guides optimized zeolite synthesis experiments.
Abstract
How best to design and redesign high-throughput experiments for zeolite synthesis is addressed. A model that relates materials function to chemical composition of the zeolite and the structure directing agent is introduced. Using this model, several Monte Carlo-like design protocols are evaluated. Multi-round protocols are found to be effective, and strategies that use a priori information about the structure-directing libraries are found to be the best.
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