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.
申请公布号
WO2004027574(A2)
申请公布日期
2004.04.01
申请号
WO2003US29623
申请日期
2003.09.22
申请人
DIVERSIFIED SCIENTIFIC, INC;HAMRICK, DAVID, T.;COSENZA, LAWRENCE, W., JR.;CHERNOV, NIKOLAI
发明人
HAMRICK, DAVID, T.;COSENZA, LAWRENCE, W., JR.;CHERNOV, NIKOLAI