Data-Driven Modeling and the Big Data Problems.
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 1888961
- Report Number(s):
- SAND2021-11866C; 699889
- Resource Relation:
- Conference: Proposed for presentation at the Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (MMLDT-CSET) held September 26-29, 2021 in San Diego, CA U.S.A.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Big-Data-Driven Geo-Spatiotemporal Correlation Analysis between Precursor Pollen and Influenza and its Implication to Novel Coronavirus Outbreak.
Science-Based Computational Modeling: New Questions New Challenges and Big Data Problems.
IMoFi - Intelligent Model Fidelity: Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration.
Conference
·
2021
·
OSTI ID:1843317
Science-Based Computational Modeling: New Questions New Challenges and Big Data Problems.
Conference
·
2016
·
OSTI ID:1618233
IMoFi - Intelligent Model Fidelity: Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration.
Conference
·
2021
·
OSTI ID:1899653