Abstract
Risk Analysis Virtual ENvironment, or RAVEN, is a flexible, multi-purpose framework for risk analysis, calculating uncertainty, optimizing parameters and more of complex system codes. RAVEN can investigate the response of such codes and their input space using Monte Carlo, Grid or Latin Hyper Cube sampling schemes. It is particularly strong at finding input space regions that lead to system failure, finding limit surfaces, and other aspects of system feature discovery. RAVEN runs on MAC, Linux and Windows operating systems with multi-core and multi-thread parallel computing.
This software is open source and available at no cost.
This software is open source and available at no cost.
| Original language | American English |
|---|---|
| State | Published - 2014 |
Keywords
- Machine Learning
- Uncertainty Quantification
- Sensitivity Analysis
- Smart Sampling
- Workflow orchestration
- Reduced Order Modeling
- Code coupling
- Optimization
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Dive into the research topics of 'RAVEN: Risk Analysis Virtual Environment'. Together they form a unique fingerprint.Prizes
-
2023 R&D 100 Award for RAVEN
Mandelli, D. (Recipient), Wang, C. (Recipient), Talbot, P. (Recipient), Cogliati, J. (Recipient), Abdo, M. (Recipient), McDowell, D. (Recipient), Yoshiura, R. (Recipient), Kinoshita, R. (Recipient), Rabiti, C. (Recipient), Alfonsi, A. (Recipient) & Garrett, D. (Recipient), 2023
Prize: Honorary award
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