Performance of a manufacturing tool is optimized. Optimization relies on recipe drifting and generation of knowledge that capture relationships among product output metrics and input material measurement(s) and recipe parameters. Optimized recipe parameters are extracted from a basis of learned functions that predict output metrics for a current state of the manufacturing tool and measurements of input material(s). Drifting and learning are related and lead to dynamic optimization of tool performance, which enables optimized output from the manufacturing tool as the operation conditions of the tool changes. Features of recipe drifting and associated learning can be autonomously or externally configured through suitable user interfaces, which also can be drifted to optimize end-user interaction.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system, comprising: a processor, coupled to a memory, comprising computer-executable components, comprising: a drift component that modifies a manufacturing recipe processed by a manufacturing tool that produces an asset to form a modified manufacturing recipe at least in part using a set of driving variables and a defined probability distribution function to generate one or more adjusted manufacturing recipes for the asset, wherein the set of driving variables determine a sequence in which to modify a set of recipe parameters associated with the manufacturing recipe.