Predictive Science Academic Alliance Program III (PSAAP III)
Sector: Advanced Electronics • Location: United States of America
Source: Grants.gov
Predictive Science is potentially applicable to a variety of fields, including nuclear weapons, efficient manufacturing, biological systems, nanoscale material science, organic chemical processes, climate modeling, etc. Success in these simulations requires both software and algorithmic frameworks for integrating multiple disciplines into a single application and adding significant disciplinary s
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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 | Predictive Science is potentially applicable to a variety of fields, including nuclear weapons, efficient manufacturing, biological systems, nanoscale material science, organic chemical processes, climate modeling, etc. Success in these simulations requires both software and algorithmic frameworks for integrating multiple disciplines into a single application and adding significant disciplinary strength and depth to make that integration effective. Applications should conduct computer science research in areas that will contribute to the advancement of Exascale computing technologies and demonstrate the results in the context of the chosen application. The FOA contains topics that are of particular interest to the NNSA National Laboratories as they move towards Exascale computing. Other topics that will enable the advancements in Exascale computing are encouraged as well. More details are contained in the FOA. |
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 |
