Computational Reverse-Engineering Analysis for Scattering Experiments (CREASE) with Machine Learning
Journal Article
·
· ACS Central Sci.
- Research Organization:
- Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)
- Sponsoring Organization:
- DOE - Office Of Science; U.S. AIR FORCE- OFFICE OF SCIENTIFIC RESEARCH
- OSTI ID:
- 1900702
- Journal Information:
- ACS Central Sci., Vol. 8, Issue (7)
- Country of Publication:
- United States
- Language:
- ENGLISH
Similar Records
Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization
Engine Combustion System Optimization Using Computational Fluid Dynamics and Machine Learning: A Methodological Approach
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments
Journal Article
·
2021
· International Journal of Engine Research
·
OSTI ID:1900702
+4 more
Engine Combustion System Optimization Using Computational Fluid Dynamics and Machine Learning: A Methodological Approach
Journal Article
·
2020
· Journal of Energy Resources Technology
·
OSTI ID:1900702
+7 more
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments
Journal Article
·
2021
· Frontiers in Big Data
·
OSTI ID:1900702
+7 more