Understand scientific and engineering challenges. Realize the computational theories and methods behind the solutions. Be at the front line of a rapidly evolving discipline. Face extremely large and ...

Our research efforts in Computational Fluid Dynamics (CFD) include high performance computing for compressible and incompressible flows, development of finite volume schemes for hybrid and generalized ...

More powerful chips are enabling chips to process more data faster, but they’re also having a revolutionary impact on how that data can be used. Simulations that used to take days or weeks now can be ...

Interdisciplinary research in computational science and engineering propels emergent technologies in high-performance computing, networking, and big data applications, that span broad applications in ...

The field of microbial enzyme research is rapidly evolving as biotechnology and industrial processes increasingly depend on the exploitation of microbial ...

Faculty conducting research in these areas focus on synthesis of novel materials, the use of novel materials for separations and coatings, computational modeling, and simulation of chemical and ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Aptamers are single-stranded oligonucleotides generated by the systematic evolution of ligands by exponential enrichment (SELEX). They have a wide variety of applications, but computational approaches ...

Fractal geometry offers a rigorous framework for describing irregular and self-similar structures that are ubiquitous across nature and technology. This field has profoundly influenced our ...