Precision investment casting (PIC) simulation software is being increasingly used to predict product quality.
Reduced fidelity prototypes were generally suitable to predict product usability of the real appliance.
Recently, casting simulation software is being increasingly used to predict product quality by implementing 'what-if' scenarios.
The developed LGO-HDS structure-based kinetic model can describe reaction behavior and predict product distribution with high accuracy.
Thus, based on a range of daily process measurements, the sensor is used to predict product quality five days in advance.
This approach was unfortunately not possible here since the software available to us was not able to predict product ions of even-electron negative ions.
The predicted products are consistent with those detected in experiments.
Characterization of predicted products was made using [PtCl(dien)]Cl.
198 of these generalized chemical reaction rules were applied to all compounds in a given source database, resulting in a MINE database of predicted products and chemical reactions.
Fragment 5 (3610 bp) was digested with EcoRI which generates predicted products of 1531 and 2079 bp.
