DURIP Deep-Learning/SISSO structural/plasmonic optimization of high-entropy carbonitrides and borides
Abstract
Equipment requested covers a combination of #superscalar GPU systems# and #ultra-fast data-storage# (350K$). The DoD-HPC center that we currently use does not enable the research that the proposed hardware/software/infrastructure will. DoD relevance. Impact of your proposed equipment on research DoD funds or plans to fund. All three directions of research are funded or recommended to be funded by ONR and will benefit of the proposed equipment. The new developed deep learning software capabilities will be shared with HPC infrastructure for helping research of other scientists. Importance and priority to DoD missions of research your proposed equipment will support. Study, discovery, and optimization of high-entropy ceramics is critical for multi-functional applications of these in extreme environment. Educational offering. The equipment will enable the education of US/NATO graduate students and/or postdocs to computational materials science. Our center has always been very active in preparing the new cadre of scientists. Several alumni fromthe Curtarolo group have found positions in laboratories or US aerospace/defense industries. We also use our equipment to offer training workshops to young US researchers interested in disordered ceramics.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 11, 2024
- Source ID
- N000142412237
Entities
People
- Stefano Curtarolo
Organizations
- Duke University
- Office of Naval Research
- United States Navy