Tag: data science
The Materials Project at Lawrence Berkeley National Laboratory (LBNL) is an open database that offers information about material properties, or, all the elements and substances that make up the products we use every day. By harnessing the power of the Department of Energy’s (DOE) high-performance scientific computing and state of the art electronic structure methods, the Materials Project provides open web-based access on AWS to computational datasets on both known and potential materials, along with powerful analysis tools to help discover, inspire, and design new materials.
The AWS Cloud Credit for Research Program launched a new opportunity for Amazon Scholars and Amazon Visiting Academics to apply for AWS Promotional Credit to accelerate innovation through cloud technology. Amazon Scholars are world-class academics and Amazon Visiting Academics are pre- to newly-tenured academics, selected to tackle real-world technical challenges as they continue to teach and conduct research at their universities. AWS Promotional Credit is offered through this initiative is to support the awardees’ impactful university research that’s distinct from their work at Amazon.
On the topic of resilience—the ability to withstand, respond and adjust to chronic or acute stressors— there are a lot of data sets out there on social ecological systems, human environment, stressors, shocks, natural disasters, and conflict. The challenge is these data sets are often stored in silos or confined to the academic community. However, […]