Chris Howcroft, Bernd Krauskopf, Mark Lowenberg, and Simon Neild study the dynamics of aircraft landing gear using nonlinear models.

As computers get faster, people want to solve larger problems, eventually bringing fast algorithms to the forefront.

Advances in computer modeling are transforming our understanding of the heart's function in health and disease.

Quantum mechanical effects are inherent to molecular or material systems where electronic structure is critical.

As most of recorded human history had it, the Earth’s interior was ruled by giant snakes and dragons.

The mathematical study of water waves goes back to the origins of differential equations.

A group of computational scientists have proposed a set of standards for the dissemination of reproducible research.

“Scalable Algorithms for Big Data” was a main theme of the 2013 SIAM CSE conference.

The silent stages of recurrent infection are hard to study with experimental models. Mathematical analysis can help fill in the gaps.

Mathematical models can analyze viral dynamics in the early phase of HIV, thus offering insights into therapeutic and prevention strategies.

“Our collective actions have generated a climate problem that threatens our future and our children’s future."

Mathematician David Mumford shows how ancient cultures proved the beloved formula long before the Greeks.

As it reaches its tenth year, the Mathematical Biosciences Institute set its sights on the future of mathematical biology.

Although the distinctions between them are not always sharp, myths differ from legends and folktales.

Just about every U.S. federal agency that funds science currently supports at least one major national initiative on data.