Epidemiological-Mathematical models are powerful tools for estimating the course of a
pandemic and exploring different scenarios through pandemic intervention policies (PIPs) …

The recently developed physics-informed neural network (PINN) has achieved success in
many science and engineering disciplines by encoding physics laws into the loss functions …

Biokinetic models have been employed in internal dosimetry (ID) to model the human body's
time-dependent retention and excretion of radionuclides. Consequently, biokinetic models …

The simulation of power system dynamics poses a computationally expensive task.
Considering the growing uncertainty of generation and demand patterns, thousands of …

With the advent of the Functional Mock-up Interface (FMI) standard, exchanging dynamic
models between modeling and simulation tools has been greatly simplified. At the core of it …

The dynamic behaviour of a power system can be described by a system of differential–
algebraic equations. Time-domain simulations are used to simulate the evolution of these …

Process design and optimization continue to provide computational challenges as the
chemical engineering and process optimization communities seek to address more complex …

Simulation of coupled dynamical systems, where the subsystems are bundled with their own
internal solver, is important in industry. This is due to that in many cases, with complex …

Understanding the complex reaction mechanism and kinetics of sulfur reduction is
prerequisite to design well performing lithium-sulfur batteries. Decoupling of individual …

The loss of volatiles from a magma reservoir affects the magmatic overpressure responsible
for driving ground deformation and eruptions. Although the high‐temperature metamorphic …