Physicists from Friedrich Schiller University Jena, together with colleagues from Düsseldorf, Gothenburg, Lyngby and Trieste have developed an ingenious solution for separating bonded nano-components.
The growing demand for Cyber-Physical Systems (CPS) requires strong reliability. However, implementing Design for Reliability (DfR) in CPS requires a deep understanding of the components’ Physics of ...
Physics-informed convolutional neural networks (PICNNs) have emerged as a powerful extension of physics-informed neural networks (PINNs), offering superior generalization and efficiency for solving ...
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