Abstract:
An operation method and an operation device of a failure detection and classification (FDC) model are provided. The operation method of the FDC model includes the following steps. A plurality of raw traces are continuously obtained. If the raw traces have started to be changed from the first waveform to the second waveform, whether at least N pieces in the race traces have been changed to the second waveform is determined. If at least N pieces in the raw traces have been changed to the second waveform, the raw traces which have been changed to the second waveform are automatically segmented to obtain several windows. An algorithm is automatically set for each of the windows. Through each of the algorithms, an indicator of each of the windows is obtained. The FDC model is retrained based on these indicators.
Abstract:
An integrated circuit (IC) structure includes a substrate having several regions, several semiconductor devices formed at the substrate and respectively within the regions, and an ultra-deep (UD) trench isolation structure formed in the substrate. The substrate has a top surface and a bottom surface oppositely, and the UD trench isolation structure formed in the substrate surrounds peripheries of each of the regions for structurally and physically isolating the semiconductor devices within different regions. The UD trench isolation structure penetrates the substrate by extending from the top surface of the substrate to the bottom surface of the substrate.
Abstract:
An integrated circuit (IC) structure includes a substrate having several regions, several semiconductor devices formed at the substrate and respectively within the regions, and an ultra-deep (UD) trench isolation structure formed in the substrate. The substrate has a top surface and a bottom surface oppositely, and the UD trench isolation structure formed in the substrate surrounds peripheries of each of the regions for structurally and physically isolating the semiconductor devices within different regions. The UD trench isolation structure penetrates the substrate by extending from the top surface of the substrate to the bottom surface of the substrate.
Abstract:
An integrated circuit (IC) structure includes a substrate having several regions, several semiconductor devices formed at the substrate and respectively within the regions, and an ultra-deep (UD) trench isolation structure formed in the substrate. The substrate has a top surface and a bottom surface oppositely, and the UD trench isolation structure formed in the substrate surrounds peripheries of each of the regions for structurally and physically isolating the semiconductor devices within different regions. The UD trench isolation structure penetrates the substrate by extending from the top surface of the substrate to the bottom surface of the substrate.
Abstract:
For improving wafer fabrication, yield and lifetime of wafers are predicted by determining coefficients of a yield domain for wafer yield prediction and a lifetime domain for a wafer lifetime prediction, an integral domain, an electric/layout domain, a metrology/defect domain, and a machine sensor domain in a hierarchical manner. With the aid of the hierarchically-determined coefficients, noises in prediction can be reduced so that precision of prediction results of the yields or the lifetimes of wafers can be raised.
Abstract:
A layout correcting method and a layout correcting system are provided. The layout correcting method includes the following steps. An integrated circuit design layout is provided. A plurality of performance parameters of the integrated circuit design layout are analyzed. A plurality of devices under test is selected according to the performance parameters. A computer simulating process is performed on the devices under test and a direct probing process is performed on the devices under test. The direct probing process is an on-chip test for comparing each device under test and an environment condition thereof by a Boolean algebra algorithm. A plurality of differences between the results of the computer simulating process and the direct probing process is analyzed. The integrated circuit design layout is corrected according to differences between the results of the computer simulating process and the direct probing process.
Abstract:
An automatic adjustment method and an automatic adjustment device of a beam of a semiconductor apparatus, and a training method of a parameter adjustment model are provided. The automatic adjustment method of the beam of the semiconductor apparatus includes the following steps. The semiconductor apparatus generates the beam. A wave curve of the beam is obtained. The wave curve is segmented into several sections. The slope of each of the sections is obtained. Several environmental factors of the semiconductor apparatus are obtained. According to the slopes and the environmental factors, at least one parameter adjustment command of the semiconductor apparatus is analyzed through the parameter adjustment model.
Abstract:
An integrated circuit (IC) structure includes a substrate having several regions, several semiconductor devices formed at the substrate and respectively within the regions, and an ultra-deep (UD) trench isolation structure formed in the substrate. The substrate has a top surface and a bottom surface oppositely, and the UD trench isolation structure formed in the substrate surrounds peripheries of each of the regions for structurally and physically isolating the semiconductor devices within different regions. The UD trench isolation structure penetrates the substrate by extending from the top surface of the substrate to the bottom surface of the substrate.
Abstract:
For improving wafer fabrication, yield and lifetime of wafers are predicted by determining coefficients of a yield domain for wafer yield prediction and a lifetime domain for a wafer lifetime prediction, an integral domain, an electric/layout domain, a metrology/defect domain, and a machine sensor domain in a hierarchical manner. With the aid of the hierarchically-determined coefficients, noises in prediction can be reduced so that precision of prediction results of the yields or the lifetimes of wafers can be raised.
Abstract:
A manufacturing data analyzing method and a manufacturing data analyzing device are provided. The manufacturing data analyzing method includes the following steps. Each of at least one numerical data, at least one image data and at least one text data is transformed into a vector. The vectors are gathered to obtain a combined vector. The combined vector is inputted into an inference model to obtain a defect cause and a modify suggestion.