QCArchive v0.50 Released
Tuesday, Sept. 12, 2023Release Information and Documentation: https://molssi.github.io/QCFractal/ The Molecular Sciences Software Institute is excited to announce the release of QCArchive v0.50. QCArchive is a MolSSI open-source software product that allows users to run a large number of QM calculations and archive the results. This release has numerous new improvements and features: Want to learn more […]
Introduction to QCArchive: Free Online Webinar!
Join us on Thursday, Sept. 21 from 1-3 pm ET (10 am – 12 pm PT) for a webinar introducing the newly released QCArchive software. QCArchive is a MolSSI open-source software product that helps users run large numbers of QM calculations and archive the results. In this interactive webinar, we will introduce the features, use cases, […]
MolSSI Community Highlight: Dr. Jeffrey Wagner, Open Force Field Consortium
MolSSI Community Highlights spotlight exceptional examples of research and education enabled by MolSSI software and educational resources. Dr. Jeffrey Wagner (Technical lead at the Open Force Field Consortium) and his team focus on the development of accurate and transferable molecular mechanics force fields using a combination of quantum mechanics (QM) and experimental data. In this […]
Introducing MolSSI’s 2023-24 Software Fellows!
After reviewing many impressive applications, the MolSSI is delighted to announce that the Science and Software Advisory Board has selected our new 2023-24 Software Fellows! They are: Anja Conev, Rice University; Jeremy Leung, University of Pittsburgh; Diego Kleiman, University of Illinois, Urbana-Champaign; Ericka Miller, Case Western Reserve University; Augustine Onyema, Graduate Center, City University of New […]
MolSSI Community Highlight: Dr. Danny Perez, Los Alamos National Laboratory
MolSSI Community Highlights spotlight exceptional examples of research and education enabled by MolSSI software and educational resources. Dr. Danny Perez (Scientist IV in the Theory Division at Los Alamos National Laboratory) and his group focus on the development, implementation, and applications of long-timescale methods for atomistic simulation of materials through their work with the Exascale […]
MolSSI Community Highlight: Prof. Ryan C. Fortenberry, University of Mississippi
MolSSI Community Highlights spotlight exceptional examples of research and education enabled by MolSSI software and educational resources. Dr. Ryan C. Fortenberry, Associate Professor of Chemistry at the University of Mississippi, and his group focus on Theoretical Astrochemistry. They use computers to simulate the way light interacts with molecules and how molecules interact with each other […]
MolSSI Community Highlight: Prof. Jay Foley, UNC Charlotte
MolSSI Community Highlights spotlight exceptional examples of research and education enabled by MolSSI software and educational resources. Prof. Jay Foley (Associate Professor of Chemistry at University of North Carolina, Charlotte) and his group have harnessed the power of MolSSI Educational resources to transform their approach to scientific software development. In this post, Prof Foley tells […]
Basics of Accelerated Computing with Intel OpenMP GPU Offload
Join Molecular Sciences Software Institute (MolSSI) and Intel for the upcoming hands-on Basics of Accelerated Computing with Intel OpenMP GPU Offload virtual workshop: You can stay up-to-date about the upcoming workshops by subscribing to our newsletter here or following the updates posted on our Industrial Training Program webpage.
2023-24 Software Fellowship Competition Opens on February 15
The Molecular Sciences Software Institute (MolSSI) is pleased to announce that the 2023-24 Software Fellowship competition will be open for submissions for ONE-YEAR Fellowships (from 1 July 2023 thru 30 June 2024) on February 15. These prestigious Fellowships recognize advanced graduate students and postdocs pursuing the development of software infrastructure, middleware, and frameworks that will benefit the […]
Machine Learning and Chemistry: Are We There Yet?
The workshop schedule is now available at THIS LINK! Organizers: Pratyush Tiwary, University of Maryland, College ParkCecilia Clementi, Free University BerlinTeresa Head-Gordon, University of California, Berkeley In recent years, the field of machine learning (ML) has seen an incredible and sustained surge in interest. From image classifiers to board games to protein structure prediction, ML […]