Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...

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

As computational research increasingly involves artificial intelligence and machine learning methods, ITaP Research Computing is adding GPU nodes to its community clusters to better serve researchers ...

The College of Computing is pleased to present the Infinite Loop Journal for Undergraduate Research and Applied Computing. The online journal aims to serve as a premier platform for showcasing the ...

The field of Architectural Computing and Visualisation Methods has evolved remarkably over recent decades, integrating computational intelligence and advanced visualisation techniques into the fabric ...

Scientists have used high-performance computing at large scales to analyze a quantum photonics experiment. In specific terms, this involved the tomographic reconstruction of experimental data from a ...

Our mission is to enhance research and scholarship at Miami University by providing expertise about computational methods and resources and assisting with the use of specific software packages. We ...

Quantum computing and artificial intelligence (AI) can be combined with classical computing methods to design and discover small-molecule candidates that target the cancer-driving KRAS protein, ...

May 17, 2023 — The Advanced Scientific Computing Research (ASCR) program in the US Department of Energy (DOE) Office of Science is organizing a workshop to identify priority research directions in ...

College of Computing and Michigan Tech faculty and students are engaged in a wide range of research projects. Computing touches virtually everything, so your research options are limitless. The links ...

Drug discovery has traditionally been slow and expensive, often taking decades and costing manufacturers billions. Traditional methods, while advancing, are hitting limits in tackling the complexities ...