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[Display omitted] • Preparation of the self-embrittle corrosive bifunctional detergent based on the RAFT one-pot method that can be used for corrosive deep decontamination of surface layers of stainless steel. • The recorded data set was used for the optimization of response surface methodology (RSM) model. • Four different types of machine learning were trained and measured, and their accuracy was evaluated. • The detergent was prepared in a simple way to facilitate large-scale applications. Nuclear facilities generate lots of contaminated stainless steel metallic material during maintenance and decommissioning. As a new radioactive decontamination method, the self-embrittle decontamination method has the advantage of less secondary contaminants and being able to operate machinery remotely. Adding a certain amount of corrosive components to the self-embrittle compound detergent can achieve the dual functions of self-embrittlement and corrosive decontamination. It was used to optimized the response surface methodology (RSM) and train and evaluate four different machine learning models by the recorded data set. The purpose of the analysis was to quantify the accuracy of the corrosion decontamination effect of RSM model and four types of machine learning model. The results exhibits that the long short-term memory neural network (LSTM) model performs well. The prepared detergent can achieve the average corrosion depth of 5.9454 μm on stainless steel, which can satisfy the corrosion decontamination of radioactively contaminated stainless steel surfaces. [ABSTRACT FROM AUTHOR]

Reversible deactivated radical polymerization (RDRP) has obvious advantages in the synthesis of block copolymers with well-defined structure and composition, but it has some defects in practical applications. An amphiphilic block copolymer (PMAA- co -PTFEMA)-b-PMMA-b-(PMAA-co-PTFEMA) with the self-brittle function was prepared by the reversible addition-fragmentation chain transfer polymerization (RAFT) one-pot method using S , S -dibenzyl trithiocarbonate (DBTTC) as the chain transfer agent, methyl methacrylate (MMA) as the first monomer, methacrylic acid (MAA) as the second monomer, and trifluoroethyl methacrylate (TFEMA) as the modified component. Then it was grafted onto the surface of the modified nano-silica with KH570-modified nano-silica after high-speed shearing, and a self-brittle composite detergent that can be used for radioactive decontamination of surface layers of various materials was prepared by controlling the morphology of the nano-silica. By observing the detergent with different monomer ratios, it can be seen that the control of the self-brittlement morphology of the detergent can be achieved by adjusting the ratio of MMA/MAA, which lays the foundation for future practical applications. [Display omitted] • A self-brittle triblock copolymer was synthesized by RAFT one-pot synthesis. • The morphology of the detergent is controllable; • Monomers in the copolymer can control the size of the deterg.nt brittle flakes. • The shape of the brittle flakes after the detergent drying is regular. • Detergent is effective and has a wide range of application sites. [ABSTRACT FROM AUTHOR]