Scientific Discovery Through Advanced Computing (SCiDAC) - FES Partnerships
Sector: Commercial • Location: United States of America
Source: Grants.gov
The DOE SC programs in Fusion Energy Sciences (FES) ( ) and Advanced Scientific Computing Research (ASCR) ( ) hereby announce their interest in receiving multi-institutional applications for the Scientific Discovery through Advanced Computing (SciDAC) Partnerships program ( ). This FOA invites new applications for t
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The DOE SC programs in Fusion Energy Sciences (FES) ( https://science.osti.gov/fes ) and Advanced Scientific Computing Research (ASCR) ( https://science.osti.gov/ascr ) hereby announce their interest in receiving multi-institutional applications for the Scientific Discovery through Advanced Computing (SciDAC) Partnerships program ( https://www.scidac.gov/ ). This FOA invites new applications for the SciDAC-5 Partnerships that enable or accelerate scientific discovery and programmatic objectives, aligned with the FES mission and the Department’s vision for fusion energy ( https://www.whitehouse.gov/ostp/news-updates/2022/04/19/readout-of-the-white-house-summit-on-developing-a-bold-decadal-vision-for-commercial-fusion-energy/ ), through effective collaborations between fusion / plasma scientists and applied mathematicians and/or computer scientists from the SciDAC Institutes ( https://www.scidac.gov/institutes.html ) that fully exploit the capabilities of DOE High Performance Computing (HPC) facilities |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |