OPTIMAL CRYSTALLIZATION PARAMETER DETERMINATION PROCESS

摘要

A crystallization parameter optimization process includes self-learning programs based on neural networks or smart algorithms that divine optimal crystallization conditions. The operation of these programs is ideally coupled with a high throughput automated crystallization experiment system. Through the use of successful as well as unsuccessful crystallization experimental samples, the programs are efficiently able to predict optimal crystallization variables after sampling only a modest fraction of all possible variable permutations.