Abstract: Methods, systems, and computer storage media for providing an optimal control configuration for a material processing system are provided. In operation, a material processing engine accesses causal graph input data. Causal graph input data includes input data of a continuous flow process. Based on the causal graph and the input data, a causal graph that aligns with do-calculus manipulations—associated with determining identifiable causal relationships corresponding to input materials of the continuous flow process—is generated. The causal graph is parsed based on the do-calculus manipulations to determine valid conditioning sets associated with estimating a causal impact on an optimization target. Based on the valid conditioning sets, an optimal control configuration comprising optimal control variable values is generated.

Abstract: Reconfigurable electronic structures and circuits using programmable, non-volatile memory elements. The programmable, non-volatile memory elements may perform the functions of storage and/or a switch to produce components such as crossbars, multiplexers, look-up tables (LUTs) and other logic circuits used in programmable logic structures (e.g., (FPGAs)). The programmable, non-volatile memory elements comprise one or more structures based on Phase Change Memory, Programmable Metallization, Carbon Nano-Electromechanical (CNT-NEM), or Metal Nano-Electromechanical device technologies.