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.

MolSSI/Tapia Center Webinar: Dr. Doaa Altarawy

MolSSI/Tapia Center Webinar: Dr. Doaa Altarawy

The Richard E. Tapia Center for Excellence and Equity at Rice University is sponsoring a webinar featuring MolSSI Software Scientist,

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 Workshop on Python for Quantum Chemistry and Materials Simulation

MolSSI Workshop on Python for Quantum Chemistry and Materials Simulation

A workshop on the development and use of Python-based open-source software stacks for quantum chemistry and materials science.

MolSSI Workshop on Tinker Modeling Software

MolSSI Workshop on Tinker Modeling Software

A workshop on molecular modeling code development and synchronization, simulation algorithms and force field implementation, and integration between programs.