Search
CSV
RISUnderstanding Pitfalls and Opportunities in Estimating Parameters of a Physics-Based Battery Model Using a Machine Learning Based Method—A Case Study With Long Short-Term Memory Neural Network
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Li-ion batteries' design parameters and material properties, such as porosity, electrode thickness, and solid-phase diffusivities, typically vary substantially due to different design goals as well as variations ...
Assessment of Computational Fluid Dynamic for Surface Combatant 5415 at Straight Ahead and Static Drift β = 20 deg
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Collaboration is described on assessment of computational fluid dynamics (CFD) predictions for surface combatant model 5415 at static drift β = 0 deg and 20 deg using recent tomographic particle image velocimetry (TPIV) ...