Spectral methods are very efficient numerical algorithms for solving partial differential equations in relatively simple geometries. The numerical errors introduced by spectral algorithms typically ...

From space exploration to artificial intelligence, modern scientific breakthroughs depend on moving large amounts of data ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

The Transferring Exascale Computational Chemistry to Cloud Computing Environment and Emerging Hardware Technologies (TEC4) project is accelerating the transition of electronic structure methods to ...

The minor in scientific computing offers a substantive programming and algorithmic knowledge base to science students. The minor certifies that a student has the programming and algorithmic skills to ...

The speed and agility of cloud computing opens doors to completing advanced computational chemistry workflows in days instead of months. Some computing challenges are so big that it's necessary to go ...

The Banking, Financial Services and Insurance (BFSI) sector is evolving rapidly driven by digital transformation, regulatory compliance and security needs. At the same time next-generation scientific ...