Abstract:
Embodiments relate to methods, computer systems and computer program products for performing a dielectric reliability assessment for an advanced semiconductor. Embodiments include receiving data associated with a test of a macro of the advanced semiconductor to a point of dielectric breakdown. Embodiments also include scaling the data for the macro down to a reference area and extracting a parameter for a Weibull distribution from the scaled down data for the reference area. Embodiments further include deriving a cluster factor (α) from the scaled down data for the reference area and projecting a failure rate for a larger area of the advanced semiconductor based on the extracted parameter, the cluster factor and the recorded data associated with the dielectric breakdown of the macro.
Abstract:
Methods and systems determine an original statistical variance of an original failure distribution of a component (that is common to all chips tested) that occurs during manufacturing of wafers containing such chips. These methods and systems determine a first statistical variance of a reconstructed failure distribution, relative to sample size; and determine a second statistical variance of a mean time to failure of the component, relative to sample size. The first and second statistical variances are combined into a total reconstruction variance. Methods and systems determine whether the original statistical variance is less than the total reconstruction variance to identify whether the process of creating the reconstructed failure distribution can be used. Therefore, these methods and systems prohibit testing of the additional wafers manufactured using the specific wafer design and manufacturing process when on the original statistical variance is less than the total reconstruction variance.
Abstract:
Embodiments relate to methods, computer systems and computer program products for performing a dielectric reliability assessment for an advanced semiconductor. Embodiments include receiving data associated with a test of a macro of the advanced semiconductor to a point of dielectric breakdown. Embodiments also include scaling the data for the macro down to a reference area and extracting a parameter for a Weibull distribution from the scaled down data for the reference area. Embodiments further include deriving a cluster factor (α) from the scaled down data for the reference area and projecting a failure rate for a larger area of the advanced semiconductor based on the extracted parameter, the cluster factor and the recorded data associated with the dielectric breakdown of the macro.
Abstract:
A method and system are provided for chip testing. The method includes selectively deploying a chip for future use or discarding the chip to prevent the future use, responsive to a stress history of the chip determined using a non-destructive test procedure. The test procedure includes ordering each of a plurality of functional patterns by a respective minimum operating period corresponding thereto. The test procedure further includes ranking each of the plurality of patterns based on at least one preceding available pattern to provide a plurality of pattern ranks. The test procedure also includes calculating a sum by summing the plurality of pattern ranks. The sum calculated during an initial performance of the test procedure is designated as a baseline, and the sum calculated during a subsequent performance of the test procedure is compared to a threshold derived from the baseline to determine the stress history of the chip.
Abstract:
An electronic apparatus for testing an integrated circuit (IC) that includes a ring oscillator is provided. The apparatus configures the ring oscillator to produce oscillation at a first frequency and configures the ring oscillator to produce oscillation at a second frequency. The apparatus then compares the second frequency with an integer multiple of the first frequency to determine a resistive voltage drop between a voltage applied to the IC and a local voltage at the ring oscillator. The ring oscillator has a chain of inverting elements forming a long ring and a short ring. The ring oscillator also has an oscillation selection circuit that is configured to disable the short ring so that the ring oscillator produces a fundamental oscillation based on signal propagation through the long ring and enable the short ring so that the ring oscillator produces a harmonic oscillation based on a signal propagation through the short ring and the long ring.
Abstract:
Embodiments of the invention are directed to a semiconductor wafer test system. A non-limiting example of the test system includes a controller, a sensing system communicatively coupled to the controller, and a stress source communicatively coupled to the controller. The controller is configured to control the stress source to deliver an applied stress to a targeted stress area of a semiconductor wafer. The sensing system is configured to detect the applied stress and provide data of the applied stress to the controller. The controller is further configured to control the stress source based at least in part on the data of the applied stress.
Abstract:
A method and system are provided for chip testing. The method includes ascertaining a baseline for a functioning chip with no stress history by performing a non-destructive test procedure on the functioning chip. The method further includes repeating the test procedure on a chip under test using a threshold derived from the baseline as a reference point to determine a stress history of the chip under test. The test procedure includes ordering each of a plurality of functional patterns by a respective minimum operating period corresponding thereto, ranking each pattern based on at least one preceding available pattern to provide a plurality of pattern ranks, and calculating a sum by summing the pattern ranks. The sum calculated by the ascertaining step is designated as the baseline, and the sum calculated by the repeating step is compared to the threshold to determine the stress history of the chip under test.
Abstract:
Embodiments of the invention are directed to a semiconductor wafer test system. A non-limiting example of the test system includes a controller, a sensing system communicatively coupled to the controller, and a stress source communicatively coupled to the controller. The controller is configured to control the stress source to deliver an applied stress to a targeted stress area of a semiconductor wafer. The sensing system is configured to detect the applied stress and provide data of the applied stress to the controller. The controller is further configured to control the stress source based at least in part on the data of the applied stress.
Abstract:
Embodiments of the invention are directed to a semiconductor wafer test system. A non-limiting example of the test system includes a controller, a sensing system communicatively coupled to the controller, and a stress source communicatively coupled to the controller. The controller is configured to control the stress source to deliver an applied stress to a targeted stress area of a semiconductor wafer. The sensing system is configured to detect the applied stress and provide data of the applied stress to the controller. The controller is further configured to control the stress source based at least in part on the data of the applied stress.
Abstract:
Embodiments of the invention are directed to a semiconductor wafer test system. A non-limiting example of the test system includes a controller, a sensing system communicatively coupled to the controller, and a stress source communicatively coupled to the controller. The controller is configured to control the stress source to deliver an applied stress to a targeted stress area of a semiconductor wafer. The sensing system is configured to detect the applied stress and provide data of the applied stress to the controller. The controller is further configured to control the stress source based at least in part on the data of the applied stress.