Abstract: A first embodiment is a method for semiconductor process control comprising clustering processing tools of a processing stage into a tool cluster based on processing data and forming a prediction model for processing a semiconductor wafer based on the tool cluster. A second embodiment is a method for semiconductor process control comprising providing cluster routes between first stage tool clusters and second stage tool clusters, assigning a comparative optimization ranking to each cluster route, and scheduling processing of wafers. The comparative optimization ranking identifies comparatively which cluster routes provide for high wafer processing uniformity.

Abstract: A method of forming a device includes printing conductive patterns on a dielectric sheet to form a pre-ink-printed sheet, and bonding the pre-ink-printed sheet onto a side of a substrate. The conductive feature includes a through-substrate via extending from a first major side of the substrate to a second major side of the substrate opposite the first major side. A conductive paste is then applied to electrically couple conductive patterns to a conductive feature in the substrate.

Abstract: A method to enable wafer result prediction includes collecting manufacturing data from various semiconductor manufacturing tools and metrology tools; choosing key parameters using an autokey method based on the manufacturing data; building a virtual metrology based on the key parameters; and predicting wafer results using the virtual metrology.

Abstract: Embodiments of the present invention relate to a method for a near non-adaptive virtual metrology for wafer processing control. In accordance with an embodiment of the present invention, a method for processing control comprises diagnosing a chamber of a processing tool that processes a wafer to identify a key chamber parameter, and controlling the chamber based on the key chamber parameter if the key chamber parameter can be controlled, or compensating a prediction model by changing to a secondary prediction model if the key chamber parameter cannot be sufficiently controlled.

Abstract: A system and method for controlling resistivity uniformity in a Copper trench structure by controlling the CMP process is provided. A preferred embodiment comprises a system and a method in which a plurality of CMP process recipes may be created comprising at least a slurry arm position. A set of metrological data for at least one layer of the semiconductor substrate may be estimated, and an optimum CMP process recipe may be selected based on the set of metrological data. The optimum CMP process recipe may be implemented on the semiconductor substrate.

Abstract: A method to enable wafer result prediction from a batch processing tool, includes collecting manufacturing data from a batch of wafers processed in batch in the batch processing tool, to form a batch processing result; defining a degree of freedom of the batch processing result based on the manufacturing data; and performing an optimal curve fitting by trial and error for an optimal function model of the batch processing result based on the batch processing result.

Abstract: A method of forming a device includes printing conductive patterns on a dielectric sheet to form a pre-ink-printed sheet, and bonding the pre-ink-printed sheet onto a side of a substrate. The conductive feature includes a through-substrate via extending from a first major side of the substrate to a second major side of the substrate opposite the first major side. A conductive paste is then applied to electrically couple conductive patterns to a conductive feature in the substrate.

Abstract: A system, method, and computer readable medium for extracting a key process parameter correlative to a selected device parameter are provided. In an embodiment, the key process parameter is determined using a gene map analysis. The gene map analysis includes grouping highly correlative process parameter and determining the correlation of a group to the selected device parameter. In an embodiment, the groups having greatest correlation to the selected device parameter are displayed in a correlation matrix and/or a gene map.

Abstract: A first embodiment is a method for semiconductor process control comprising clustering processing tools of a processing stage into a tool cluster based on processing data and forming a prediction model for processing a semiconductor wafer based on the tool cluster. A second embodiment is a method for semiconductor process control comprising providing cluster routes between first stage tool clusters and second stage tool clusters, assigning a comparative optimization ranking to each cluster route, and scheduling processing of wafers. The comparative optimization ranking identifies comparatively which cluster routes provide for high wafer processing uniformity.

Abstract: Embodiments of the present invention relate to a method for a near non-adaptive virtual metrology for wafer processing control. In accordance with an embodiment of the present invention, a method for processing control comprises diagnosing a chamber of a processing tool that processes a wafer to identify a key chamber parameter, and controlling the chamber based on the key chamber parameter if the key chamber parameter can be controlled, or compensating a prediction model by changing to a secondary prediction model if the key chamber parameter cannot be sufficiently controlled.

Abstract: A method is disclosed for controlling the sheet resistance of copper trenches formed on semiconductor wafers. The method includes forming a plurality of copper-filled trenches on a wafer, measuring the sheet resistance of each of the plurality of copper-filled trenches, and comparing the measured sheet resistance values to a predetermined sheet resistance value. Photolithography steps performed on subsequent wafers are adjusted according to a difference between the measured sheet resistance values and the predetermined value. In one embodiment, this adjustment takes the form of adjusting a photolithographic extension exposure energy to thereby adjust the cross-section of the resulting trenches.

Abstract: A method for improving within-wafer uniformity is provided. The method includes forming an electrical component by a first process step and a second process step, wherein the electrical component has a target electrical parameter. The method includes providing a first plurality of production tools for performing the first process step; providing a second plurality of production tools for performing the second process step; providing a wafer; performing the first process step on the wafer using one of the first plurality of production tools; and selecting a first route including a first production tool from the second plurality of production tools. A within-wafer uniformity of the target electrical parameter on the wafer manufactured by the first route is greater than a second route including a second production tool in the second plurality of production tools.

Abstract: A semiconductor processing method includes processing a first substrate while detecting at least one first processing parameter value in a first apparatus. The first processing parameter is analyzed, thereby yielding at least one first predicted parameter value. The first predicted parameter value is compared with a first pre-defined parameter value, thereby yielding at least one first comparison result. A first recipe is applied corresponding to the first comparison result for processing a second substrate in the first apparatus.

Abstract: A method of monitoring uniformity of a wafer is provided. A wafer parameter is selected. Manufacturing data is collected. The manufacturing data includes measurements of the selected wafer parameter. An average offset profile of the wafer parameter for a first and second wafer is determined using the manufacturing data. The first and second wafer are associated with a product type and were processed by a processing tool. An offset profile for a third wafer is predicted for a wafer using the average offset profile. The third wafer is associated with the product type and was processed by the processing tool.

Abstract: A method is disclosed for controlling the sheet resistance of copper trenches formed on semiconductor wafers. The method includes forming a plurality of copper-filled trenches on a wafer, measuring the sheet resistance of each of the plurality of copper-filled trenches, and comparing the measured sheet resistance values to a predetermined sheet resistance value. Photolithography steps performed on subsequent wafers are adjusted according to a difference between the measured sheet resistance values and the predetermined value. In one embodiment, this adjustment takes the form of adjusting a photolithographic extension exposure energy to thereby adjust the cross-section of the resulting trenches.

Abstract: A method for improving within-wafer uniformity is provided. The method includes forming an electrical component by a first process step and a second process step, wherein the electrical component has a target electrical parameter. The method includes providing a first plurality of production tools for performing the first process step; providing a second plurality of production tools for performing the second process step; providing a wafer; performing the first process step on the wafer using one of the first plurality of production tools; and selecting a first route including a first production tool from the second plurality of production tools. A within-wafer uniformity of the target electrical parameter on the wafer manufactured by the first route is greater than a second route including a second production tool in the second plurality of production tools.

Abstract: A system and method for controlling resistivity uniformity in a Copper trench structure by controlling the CMP process is provided. A preferred embodiment comprises a system and a method in which a plurality of CMP process recipes may be created comprising at least a slurry arm position. A set of metrological data for at least one layer of the semiconductor substrate may be estimated, and an optimum CMP process recipe may be selected based on the set of metrological data. The optimum CMP process recipe may be implemented on the semiconductor substrate.

Abstract: A method to enable wafer result prediction from a batch processing tool, includes collecting manufacturing data from a batch of wafers processed in batch in the batch processing tool, to form a batch processing result; defining a degree of freedom of the batch processing result based on the manufacturing data; and performing an optimal curve fitting by trial and error for an optimal function model of the batch processing result based on the batch processing result.

Abstract: A method to enable wafer result prediction includes collecting manufacturing data from various semiconductor manufacturing tools and metrology tools; choosing key parameters using an autokey method based on the manufacturing data; building a virtual metrology based on the key parameters; and predicting wafer results using the virtual metrology.

Abstract: A system, method, and computer readable medium for extracting a key process parameter correlative to a selected device parameter are provided. In an embodiment, the key process parameter is determined using a gene map analysis. The gene map analysis includes grouping highly correlative process parameter and determining the correlation of a group to the selected device parameter. In an embodiment, the groups having greatest correlation to the selected device parameter are displayed in a correlation matrix and/or a gene map.