These are my go-to libraries for Python data crunching.

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Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

OpenJFEM is a Julia finite-element solver focused on fast linear buckling analysis for bulk-data structural models. It reads an input deck, builds the finite-element model, solves the requested case, ...

It provides a simple user interface that allows users to configure the model, and outputs the corresponding mathematical equations in LaTeX format.

Abstract: Time-varying algebraic Riccati equations (TAREs) indeed play a crucial role in science and engineering with widespread applications. This research combines the advantages of zeroing neural ...

Abstract: This article proposes a new framework using physics-informed neural networks (PINNs) to simulate complex structural systems that consist of single and double beams based on Euler–Bernoulli ...