Abstract: In an approach to non-destructive inspection of IC devices, one or more images of a Device Under Test (DUT) are received from one or more imaging devices. Observed features are detected in the one or more images and producing a first synthetic representation of a part design of the DUT that includes the observed features. The presence of one or more first unobserved features are inferred, where the one or more first unobserved features are inferred using a mapping and inference model (MIM). The one or more first unobserved features are added to the first synthetic representation of the part design of the DUT.

Abstract: In an approach to CRAI and risk framework for manufacturing applications, there is thus provided a computer-implemented method for causal effect prediction, the computer-implemented method including: identifying, by one or more computer processors, an intervention, wherein the intervention is selected from the group consisting of threats, failures, corrections, and relevant outputs; collecting, by the one or more computer processors, process dependency data; creating, by the one or more computer processors, an intervention model; combining, by the one or more computer processors, the process dependency data and the intervention model to create a combined process dependency graph; training, by the one or more computer processors, a causal relational artificial intelligence (CRAI) model; and determining, by the one or more computer processors, an estimate of an intervention efficacy.

Abstract: In an approach to non-destructive inspection of IC devices, one or more images of a Device Under Test (DUT) are received from one or more imaging devices. Observed features are detected in the one or more images and producing a first synthetic representation of a part design of the DUT that includes the observed features. The presence of one or more first unobserved features are inferred, where the one or more first unobserved features are inferred using a mapping and inference model (MIM). The one or more first unobserved features are added to the first synthetic representation of the part design of the DUT.

Abstract: Systems for determining an end-point of a delayering process using optical end-point detection are described. In embodiments, the systems include a controller with an optical end-pointing (OE) module that is configured to determine an end-point of a delayering process based at least in part on the color or thickness of a surface layer of an integrated circuit (IC). In embodiments, the OE module determines whether an end-point of the delayering process has been reached based at least in part on a comparison of a determined thickness of an IC surface layer to a target thickness. The thickness of the surface layer may be determined by the OE module using a machine learning model, such as a convolutional neural network. Methods of identifying an end-point of a delayering process are also described.

Abstract: A method implemented by a software for a multimodal evaluation engine stored on a memory is provided herein. The software is executable by a processor coupled to the memory to cause the method. The method includes receiving multimodal signatures of an object of interest from inspection elements and processing the multimodal signatures to transform the multimodal signatures into formats. The method also includes generating data representations of the formats and detecting whether anomalies are present within the object of interest based on the data representations.

Abstract: N-alkane-N-alkanolamines are prepared by (a) contacting an N-alkane-N-alkanolamine having more N-alkanolamine moieties than the product compound, with a haloalkane; (b) contacting the product of step (a) with a strong base; and (c) deprotonating the product of step (b). The method of the invention produces relatively pure compounds in high yield, from low-value starting materials. The compounds produced by the invention are useful for the absorption of sulfur compounds from gases produced by the combustion of sulfur-containing hydrocarbon materials.

Abstract: A process for preparing 2-acyloxymethylpenams and 3-acyloxycephams of the formulae 1 and 2 ##STR1## in which R represents the aliphatic, aromatic, or heterocyclic moiety of an amino-protecting group commonly employed in penicillin chemistry, R.sup.1 is hydrogen or represents a carboxy-protecting group commonly employed in penicillin chemistry, and R.sup.2 is hydrogen, C.sub.1 -C.sub.6 alkyl which may also be substituted with Cl, OCH.sub.3, or CN, and phenyl which may also be substituted with CH.sub.3, F, Cl, OCH.sub.3 or NO.sub.2, by treating an unsym-azetidinone disulfide of the formula 3 ##STR2## in which R and R.sup.1 are as defined above and R.sup.4 is benzothiazol-2-yl or benzoxazol-2-yl with silver oxide, an acid of the formula R.sup.2 COOH, and iodine, or with a silver salt of the formula R.sup.2 COOAg and iodine, or with a Simonini complex of the formula R.sup.2 COOI.R.sup.2 COOAg, to obtain a mixture of the compounds of formulae 1 and 2, and optionally separating said mixture.