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This set of tutorials are written at an introductory level for an engineering or physical sciences major. It is ideal for someone who has completed college level courses in linear algebra, calculus ...

Our work studies neural network controllers and observers with provable Lyapunov stability guarantees. Due to the complexity of neural networks and nonlinear system dynamics, it is often challenging ...

We present a Python implementation of a D- and E-region chemistry and ionization code called pyGPI5. Particle precipitation that penetrates into the E- and D-region of the ionosphere-thermosphere ...

Network modeling, from the ecological to the molecular scale has become an essential tool for studying the structure, dynamics and complex behavior of living systems. Graph representations of the ...

Quantifying structure complexity in filamentous matter, like proteins and polymers, via topological metrics, can be of prohibitive computational cost. A classical example is the Jones polynomial, ...

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