Parameter estimation and optimisation in fuel cells are critical in developing robust and predictive models necessary for improving their efficiency, longevity, and overall performance. At the heart ...
An Indian-Ethiopian research group developed a datasheet-based approach for PV system parameter estimations that offers the advantage of not requiring time-consuming and expensive extensive ...
For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...
Developing a power module requires enhanced design and verification methods. Currently, multiple iterations are needed to get the design done. Today, design and manufacturing processes are heavily ...
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