Abstract: A semiconductor package for skew matching in a die-to-die interface, including: a first die; a second die aligned with the first die such that each connection point of a first plurality of connection points of the first die is substantially equidistant to a corresponding connection point of a second plurality of connection points of the second die; and a plurality of connection paths of a substantially same length, wherein each connection path of the plurality of connection paths couples a respective connection point of the first plurality of connection points to the corresponding connection point of the second plurality of connection points.

Abstract: An engineered microorganism(s) with novel pathways for the conversion of short-chain hydrocarbons to fuels and chemicals (e.g. carboxylic acids, alcohols, hydrocarbons, and their alpha-, beta-, and omega-functionalized derivatives) is described. Key to this approach is the use of hydrocarbon activation enzymes able to overcome the high stability and low reactivity of hydrocarbon compounds through the cleavage of an inert C—H bond. Oxygen-dependent or oxygen-independent activation enzymes can be exploited for this purpose, which when combined with appropriate pathways for the conversion of activated hydrocarbons to key metabolic intermediates, enables the generation of product precursors that can subsequently be converted to desired compounds through established pathways. These novel engineered microorganism(s) provide a route for the production of fuels and chemicals from short chain hydrocarbons such as methane, ethane, propane, butane, and pentane.

Abstract: A method and system for selectively identifying reliability risk die based on characteristics of local regions on a wafer by computing particle sensitive yield and using the particle sensitive yield to identify reliability risk die. Specifically, a bin characteristics database which identifies hard and soft bins that are sensitive to different failure mechanisms is maintained, and the bin characteristics database is used to compute particle sensitive yield. It is determined whether the particle sensitive yield of the local region around the current die is less than a pre-set threshold, and the die is downgraded if the particle sensitive yield of the local region around the current die is less than the pre-set threshold. If the particle sensitive yield of the local region around the current die is not less than the pre-set threshold, the die is not downgraded.

Abstract: A method and system for selectively identifying reliability risk die based on characteristics of local regions on a wafer by computing particle sensitive yield and using the particle sensitive yield to identify reliability risk die. Specifically, a bin characteristics database which identifies hard and soft bins that are sensitive to different failure mechanisms is maintained, and the bin characteristics database is used to compute particle sensitive yield. It is determined whether the particle sensitive yield of the local region around the current die is less than a pre-set threshold, and the die is downgraded if the particle sensitive yield of the local region around the current die is less than the pre-set threshold. If the particle sensitive yield of the local region around the current die is not less than the pre-set threshold, the die is not downgraded.

Abstract: A method and system for selectively identifying reliability risk die based on characteristics of local regions on a wafer by computing particle sensitive yield and using the particle sensitive yield to identify reliability risk die. Specifically, a bin characteristics database which identifies hard and soft bins that are sensitive to different failure mechanisms is maintained, and the bin characteristics database is used to compute particle sensitive yield. It is determined whether the particle sensitive yield of the local region around the current die is less than a pre-set threshold, and the die is downgraded if the particle sensitive yield of the local region around the current die is less than the pre-set threshold. If the particle sensitive yield of the local region around the current die is not less than the pre-set threshold, the die is not downgraded.

Abstract: A method and system for selectively identifying reliability risk die based on characteristics of local regions on a wafer by computing particle sensitive yield and using the particle sensitive yield to identify reliability risk die. Specifically, a bin characteristics database which identifies hard and soft bins that are sensitive to different failure mechanisms is maintained, and the bin characteristics database is used to compute particle sensitive yield. It is determined whether the particle sensitive yield of the local region around the current die is less than a pre-set threshold, and the die is downgraded if the particle sensitive yield of the local region around the current die is less than the pre-set threshold. If the particle sensitive yield of the local region around the current die is not less than the pre-set threshold, the die is not downgraded.