The complexity and diversity of the real world pose significant challenges to constructing accurate mathematical models. While creating a formal representation for simplified systems is possible, ...

Dynamic models are a cornerstone of power system stability and control. The growing penetration of inverter-based resources, driven by global decarbonization, significantly complicates power system ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

While dynamic modeling is arguably one of the most important technological developments for engineers in the last 50 years, many process control engineers are unable to use it. It requires proper time ...

Systems biology is a rapidly evolving discipline that examines the complex interactions underlying biological function ...

Opinions expressed by Digital Journal contributors are their own. Minghao Liu’s career is a testament to the power of computational science in solving complex, real-world problems. Beginning with his ...

We anticipate that students possess a grasp of fundamental mathematical concepts equivalent to those covered in the first year of studies for STEM majors at a US college. Additionally, a familiarity ...

This course covers differential equation derivation to model systems, solving these equations through Laplace transforms to determine transfer functions for simple mechanical, electrical, and ...

The biopharmaceutical industry is rapidly moving from empirical, trial and error process development toward digitalized and ...