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A CFD parametric study on the performance of a low-temperature-differential γ-type Stirling engine
(Elsevier Ltd, 2015-12)An in-house CFD code has been applied to a low-temperature-differential (LTD) γ-type Stirling engine to understand the effects posed by several geometrical and operational parameters on engine performance. The results ... -
A deep reinforcement learning approach to multistage stochastic network flows for distribution problems
(Instituto Tecnológico de Costa Rica, 2022-05-27)Distribution networks are a crucial part of supply chains that often entail highly complex optimization problems. An NP-hard example is minimizing the longterm transportation cost of multiple kinds of goods over a time ... -
A fault-tolerance protocol for parallel applications with communication imbalance
(IEEE, 2015)The predicted failure rates of future supercomputers loom the groundbreaking research large machines are expected to foster. Therefore, resilient extreme-scale applications are an absolute necessity to effectively use ... -
A Magnus Wind Turbine Power Model Based on Direct Solutions Using the Blade Element Momentum Theory and Symbolic Regression
(IEEE, 2017-01)A model of the power coefficient of a mid-scale Magnus wind turbine using numerical solutions of the Blade Element Momentum Theory and symbolic regression is presented. A direct method is proposed for solving the nonlinear ...