Fundamentals of Data-Parallel C++ and SYCL
The Molecular Sciences Software Institute (MolSSI) and Intel invite you to register for the upcoming Fundamentals of Data-Parallel C++ and SYCL workshop: Registration: https://molssi.typeform.com/to/mO4Gly5T Level: Intermediate-Advanced Date: September 29 and 30 at 11:00-16:00 ET We encourage everyone to sign up as early as possible due to the limited number of seats available. You can stay up-to-date about the […]
Introducing MolSSI’s 2022-23 Software Fellows!
After reviewing many impressive applications, the MolSSI is pleased to announce that the Science and Software Advisory Board has selected our new 2022-23 Software Fellows! They are: Melisa Alkan, Iowa State University Samuel Bekoe, University of California, Irvine Maria A. Castellanos, Massachusetts Institute of Technology Pratiksha Gaikwad, University of Florida Alexander Heide, University of Georgia Jiyoung Lee, […]
MolSSI’s Two-Phase Materials Science Workshop
MolSSI’s Materials Science Workshop, organized by Prof. Dominika Zgid at the University of Michigan, is intended to connect the materials science community and to identify and examine the specific initiatives that MolSSI can undertake that will be most beneficial. While the materials science community is very large and diverse, we will focus here on the part of the community […]
MolSSI/NVIDIA Certified Hands-on Workshops in HPC and ML
The Molecular Sciences Software Institute (MolSSI) and NVIDIA Deep Learning Institute (DLI) invite you to register for upcoming hands-on on workshops in high-performance computing and machine learning: The number of seats are limited and in order to ensure the quality of these workshops, we will not extend the registration capacity. Therefore, we encourage everyone to sign up as early […]
MolSSI Workshops at the 2022 Biennial Conference on Chemical Education (BCCE)
The Molecular Sciences Software Institute is hosting two events at the 2022 Biennial Conference on Chemical Education (BCCE). BCCE is a national meeting sponsored by the Division of Chemical Education of the American Chemical Society (ACS). The conference is designed for those who teach chemistry at all levels, and is taking place July 31 to August 4, at […]
Introducing Our New 2022 MolSSI Software Fellows!
After reviewing many impressive applications, the MolSSI is pleased to announce that the Science and Software Advisory Board has selected our new 2022 Software Fellows! They are: Dr. Edan Bainglass, University of North Texas Cody Drisko, University of Notre Dame Chenru Duan, Massachusetts Institute of Technology Dr. Aria Hosseini, Massachusetts Institute of Technology Heejune Park, University of […]
MolSSI to Serve as a Partner in the NSF CHE PREC Program
The CHE Partnerships for Research and Education in Chemistry (PREC) program aims to enable, build, and grow partnerships between minority-serving institutions (MSIs) and CHE-supported Centers for Chemical Innovation, NSF’s ChemMatCARS, the Molecular Sciences Software Institute (MolSSI), or the Molecule Maker Lab Institute (MMLI) to increase recruitment, retention and degree attainment (which defines the PREC pathway) by members of those […]
MolSSI Software Fellow: Dr. Giuseppe Barbalinardo
Giuseppe Barbalinardo, PhD, one of our 2019-2020 Fellows, earned his PhD in computational chemistry at UC Davis under the direction of Prof. Davide Donadio. He is currently working as a Senior Data Scientist at Tonal, a tech company in San Francisco. Under MolSSI support, Giuseppe worked with MolSSI Software Scientist Dr. Doaa Altarway on the development of an open […]
The NSF Has Renewed the MolSSI!
We are pleased to announce that the NSF has renewed its support for the Molecular Sciences Software Institute for another five years! Since its launch in 2016, the MolSSI has served as a nexus for the broad computational molecular sciences community by providing software expertise, community engagement and leadership, and education and training. Through a broad array […]
MolSSI Software Fellow: Matthew Chan
Matthew Chan, a 2021-A Seed Software Fellow, is currently a chemical and biomolecular engineering graduate student in Prof. Diwaker Shukla’s research group at the University of Illinois at Urbana-Champaign. Under MolSSI support, Matthew worked with MolSSI Software Scientists Dr. Doaa Altarawy and Dr. Sina Mostafanejad to create a model using transfer learning that can decode the sequence, structure, and function of […]