首页|Reports Summarize Machine Learning Findings from Technical University Munich (TU Munich) (Ml-tcad: Accelerating Fefet Reliability Analysis Using Machine Learning)
Reports Summarize Machine Learning Findings from Technical University Munich (TU Munich) (Ml-tcad: Accelerating Fefet Reliability Analysis Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting originating in Munich, Germany, by NewsRx journalists, research stated, “Physics-based simulationsusing technology computer aided design (TCAD) offer high accuracy while suffering from exceedinglyslow computations and significant license costs (especially when high parallelism is inevitable for MonteCarlo analysis), rendering large-scale design-space explorations infeasible. Therefore, we employ machinelearning (ML) algorithms, trained on accurate datasets produced by TCAD, in order to massively acceleratemultidomain ferroelectric FET (FeFET) simulations and take TCAD out of our framework’s loop.”
MunichGermanyEuropeCyborgsEmerging TechnologiesMachine LearningTechnologyTechnical University Munich (TU Munich)