Induction motor high-frequency impedance modeling facilitates predictive analysis for critical high-frequency or transient behaviors in motor drive systems. Current modeling methods typically ...

In chemical reaction network theory, ordinary differential equations are used to model the temporal change of chemical species concentration. As the functional form of these ordinary differential ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

Researchers have made a breakthrough in the ability to solve engineering problems. In a new paper published in Nature entitled, “A scalable framework for learning the geometry-dependent solution ...

Baleanu, D., Mohammadi, H. and Rezapour, S. (2020) A Fractional Differential Equation Model for the COVID-19 Transmission by Using the Caputo-Fabrizio Derivative. Advances in Difference Equations, ...

Stability analysis and boundedness of solutions of a nonlinear differential equation model, particularly in the context of knee joint movement, entails analyzing how minor perturbations (like changes ...

Time-dependent confounding and its implications are illustrated in a Markov model. We emphasize the distinction between average treatment effect, ATE, and treatment effect of the treated, ATT. These ...

Beyond bothering large language models (LLMs) with funny questions, there’s the general idea that they can act as supporting tools. Theoretically they should be able to assist with parsing an… ...