Scientific Discovery through Advanced Computing: Advanced Simulation of Fusion Plasmas
Sector: Advanced Electronics • Location: United States of America
Source: Grants.gov
The Fusion Energy Sciences (FES) Program of the Office of Science (SC), U.S. Department of Energy (DOE), hereby announces its interest in receiving Cooperative Agreement applications from interdisciplinary teams for the development and application of high performance scientific simulation codes under the SC Scientific Discovery through Advanced Computing (SciDAC) program. The FES SciDAC portfolio
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
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 Fusion Energy Sciences (FES) Program of the Office of Science (SC), U.S. Department of Energy (DOE), hereby announces its interest in receiving Cooperative Agreement applications from interdisciplinary teams for the development and application of high performance scientific simulation codes under the SC Scientific Discovery through Advanced Computing (SciDAC) program. The FES SciDAC portfolio focuses on the creation of high physics fidelity simulation codes that can advance scientific discovery in fusion plasma science and contribute to the FES goal of developing a validated predictive capability for magnetically confined plasmas by fully exploiting the emerging capabilities of petascale and beyond computing resources and associated progress in software and algorithm development. |
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 |