After a temporary postponement due to COVID-19, we are happy to announce that SSMCDAT-Energy is going forward! The event will take place virtually on April 11-13, 2022.

About SSMCDAT-Energy

The exponential increase in available computing power has made it possible to generate and analyze large amounts of materials data.  One of the leading challenges in solid-state materials chemistry is determining how to best make use of this abundance of materials data to accelerate the development of new materials-based technologies.


Solid-state materials chemistry and data science teams

SSMCDAT-Energy is an NSF-funded “hackathon” in which teams, each composed of both solid-state materials chemistry (“ssmc”) researchers and data (“dat”) scientists, will work together to apply advanced data science methods to address important, challenging problems in solid-state materials chemistry. The goal of this hackathon is to spark new collaborations in which important, challenging problems in solid-state materials chemistry are addressed in novel ways by leading methods in data science. It is anticipated that as a result of this workshop, the most successful teams may pursue additional funding and resources to build upon their successful collaboration.

Funding and support 

SSMCDAT-Energy is supported by the Solid State & Materials Chemistry (SSMC) program, the Condensed Matter & Materials Theory (CMMT) program (both in NSF’s Division of Materials Research), the Big Data Science & Engineering (BIGDATA) program (Division of Mathematical Sciences) and the Office of Multidisciplinary Activities, through awards DMR-1938729 and DMR-1938734.