Efficiently solving nonlinear equations underpins numerous scientific and engineering
disciplines, yet scaling these solutions for complex system models remains a challenge. This …

Complex systems are often decomposed into modular subsystems for engineering
tractability. Although various equation based white-box modeling techniques make use of …

We present ExaDigiT, an open-source framework for developing comprehensive digital
twins of liquid-cooled supercomputers. It integrates three main modules:(1) a resource …

With the growing penetration of converter-interfaced generation in power systems, the
dynamical behavior of these systems is rapidly evolving. One of the challenges with …

Nowadays, industrial products are getting increasingly complex, and time-to-market is
significantly shorter. Modeling and simulation tools for cyber-physical systems need to keep …

In the area of industrial Internet of Things (IIoT), digital twins (DTs) are a powerful means for
process improvement. In this paper the concept of a DT is explained and analysis …

Fast yet health-conscious and safe optimal charging for lithium-ion batteries is essential for
resource efficiency, increased battery lifetime, and overall usability. While quick and …

Gray-box modeling, integrating physical principles with empirical data, offers a distinct
advantage over black-box methods in equipment emulator development, particularly in …

This paper reports on the development of GitWorks, an open platform for democratizated
Model-Based Design of cyber-physical systems (CPS). The GitWorks platfor is currently …

Continuous Time Echo State Networks (CTESNs) are a promising yet under-explored
surrogate modeling technique for dynamical systems, particularly those governed by stiff …