The DN6.63x instruments feature ultra-low-noise outputs generating signals from DC to 2.5 GHz. With 4 to 12 synchronized ...

A differential equation is an equality constraining a mathematical function in relation to its derivatives over one or multiple variables. Such equations may constitute the mathematical model for a ...

Abstract: Physics-Informed Neural Networks (PINNs) have recently emerged as a powerful method for solving differential equations by leveraging machine learning techniques. However, while neural ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

Abstract: The objective of this article is to derive the essential invariance and contraction properties for the geometric periodic systems, which can be formulated as a category of differential ...