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Baseman

Joel Barry Baseman, San Antonio, TX US

Patent application numberDescriptionPublished
20090104185Methods and Compositions for Mycoplasma Toxins - The present invention provides 04-23-2009
20100267617METHODS AND COMPOSITIONS FOR MYCOPLASMA PNEUMONIAE EXOTOXINS - The present invention provides a 10-21-2010

Patent applications by Joel Barry Baseman, San Antonio, TX US

Robert J. Baseman, Brewster, NY US

Patent application numberDescriptionPublished
20080312858SYSTEM AND METHOD FOR RULE-BASED DATA MINING AND PROBLEM DETECTION FOR SEMICONDUCTOR FABRICATION - A fabrication history of a group of wafers is provided, having a record for each wafer of the manufacturing events that did or did not occur in its fabrication, and having the measured value of a given target. A binary decision rule is formed based on the fabrication history, the rule being that if a wafer has a particular pattern of manufacturing events in its fabrication history then the statistic of the given fabrication target for that wafer is a first value; otherwise, the statistic is a second value having at least a given distance from the first value. The pattern of manufacturing events in the binary decision rule is identified in the generation of the binary decision rule. The identified pattern is significant with respect to the given target.12-18-2008
20090093904System and Method for Rule-Based Data Mining and Problem Detection for Semiconductor Fabrication - A fabrication history a group of wafers is provided, having a record for each wafer of the manufacturing events that did or did not occur in its fabrication, and having the measured value of a given target. A binary decision rule is formed based on the fabrication history, the rule being that if a wafer has a particular pattern of manufacturing events in its fabrication history then the statistic of the given fabrication target for that wafer is a first value; otherwise, the statistic is a second value having at least a given distance from the first value. The pattern of manufacturing events in the binary decision rule is identified in the generation of the binary decision rule. The identified pattern is significant with respect to the given target.04-09-2009
20100017009SYSTEM FOR MONITORING MULTI-ORDERABLE MEASUREMENT DATA - A computer-based measurement monitoring system and method for monitoring multi-stage processes capable of producing multi-orderable data and identifying, at any stage in the monitored process, unacceptable deviations from an expected value at particular stages of the process, and communicating same detected deviation to facilitate corrective action in the process. The system and method consolidate data obtained at various stages of the process, arrange the measurement data in a multi-orderable data framework, compare the multi-orderable framework data with expected parameter values corresponding to the various stages, and detects unacceptable deviations from the expected values. The unacceptable deviations are communicated to responsible personnel, and the system and method provides same personnel with supplemental information useful in diagnosing the root cause of the problem leading to the detected deviations.01-21-2010
20100249976METHOD AND SYSTEM FOR EVALUATING A MACHINE TOOL OPERATING CHARACTERISTICS - A method and system for evaluating a performance of a semiconductor manufacturing tool while manufacturing microelectronic devices are disclosed. At least one report is generated based on executions of at least one statistical test. The report includes at least one heat map having rows that correspond to sensors, columns that correspond to trace data obtained during recipe steps, and cells at the intersection of the rows and the columns. At least one sensor in the tool obtains trace data of a recipe step while manufacturing at least one microelectronic device. A computing device analyzes the obtained trace data to determine a level of operational significance found in the data and assigns a score to the trace data that indicates a level of operational significance. Then, the computing device places the score in a corresponding cell of the heat map. A user uses the cell for evaluating the tool performance.09-30-2010

Patent applications by Robert J. Baseman, Brewster, NY US

Robert J. Baseman, Yorktown Heights, NY US

Patent application numberDescriptionPublished
20110178624RULE-BASED ROOT CAUSE AND ALIAS ANALYSIS FOR SEMICONDUCTOR MANUFACTURING - The present invention includes a computing system determining a best alias rule in a semiconductor manufacturing process. The computing system obtains an original rule and candidate alias rules based on sampled data from the semiconductor manufacturing process. The computing system compares the original rule to the candidate alias rules. The computing system ranks the candidate alias rules according to the comparison. The computing system filters the ranked candidate alias rules. A user selects one rule among the filtered candidate alias rules based on knowledge of the semiconductor manufacturing process.07-21-2011

Robert Jeffrey Baseman, Brewster, NY US

Patent application numberDescriptionPublished
20100145646Predicting Wafer Failure Using Learned Probability - Techniques for estimating a quality of one or more wafers are presented. One or more first wafers comprising one or more first dies are tested. A probability of wafer failure is determined in accordance with one or more first test measurements of the one or more first dies. A pass status and/or a fail status of one or more second wafers is inferred by testing a select one or more second dies of the one or more second wafers and evaluating one or more second test measurements of the select one or more second dies in accordance with the determined probability of wafer failure.06-10-2010