We present an information retrieval-based question answer system to answer legal questions. The system is not limited to a predefined set of questions or patterns and uses both sparse vector search and embeddings for input to a BERT-based answer re-ranking system. A combination of general domain and legal domain data is used for training. This natural question answering system is in production and is used commercially.
This paper explores the modeling and simulation of combustion processes in a gas turbine combustor both with and without water injection for NO x control. The combustor can be modeled as a series and/or parallel combinations of perfectly stirred reactors (PSRs) and plug fl ow reactors (PFRs). Kinetics models require solution of non-linear and stiff ordinary differential equations (ODEs). The CVODE code from Lawrence Livermore National Laboratory can be used for the solution of these ODEs.Here we show that a reduced kinetics set coupled with an Excel callable version of CVODE (as a dynamic link library (dll)) can be used to predict emission trends in combustors. Student use is promoted by using Excel as the pre-and post-processor.
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