The Molecular Sciences Software Institute serves as a nexus for science, education, and cooperation serving the worldwide community of computational molecular scientists – a broad field including of biomolecular simulation, quantum chemistry, and materials science.

People

At the heart of the MolSSI's effort is a team of molecular scientists, computer scientists, and applied mathematicians with advanced software engineering expertise. The MolSSI team is made up of the Board of Directors, the Science and Software Advisory Board, and the Software Scientists, and the Software Fellows.

Resources

The MolSSI provides access to both software tools and educational materials relevant to the computational molecular sciences. We welcome community contributions to the available resources.

Education & Outreach

The MolSSI supports a series of community-led workshops targeting software-related challenges relevant to the computational molecular sciences, as well as numerous Software Summer Schools focused on students across the U.S.

News & Events

Look here for information about upcoming MolSSI-sponsored events, as well as details regarding Software Fellowships, open Software Scientist positions, and much more.

The Answer is: The MolSSI

The Answer is: The MolSSI

As society continues to evolve and develop, we are faced with increasingly complex problems. Whether related to healthcare, the environment,

MolSSI Workshop for SSE/SSI PIs

MolSSI Workshop for SSE/SSI PIs

A workshop focused on PIs of current SSE/SSI projects that are relevant to the computational molecular sciences.

MolSSI Coding Workshop @ MERCURY 2018

MolSSI Coding Workshop @ MERCURY 2018

The MolSSI will host a coding workshop at the upcoming 2018 MERCURY Consortium conference at Furman University, July 18-19, 2018.

MolSSI/Tapia Center Webinar: Dr. Eliseo Marin-Rimoldi

MolSSI/Tapia Center Webinar: Dr. Eliseo Marin-Rimoldi

In this special webinar, Dr. Marin-Rimoldi will discuss how classical molecular simulations can be applied to obtain phase equilibria properties of novel systems with special emphasis on Monte Carlo simulations.