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2021.10AIMLWorkshopPresentations

  
  
  
01-Khalil-GAIN_AIML_Workshop-2021.10.05-Rev.2.pdf
  
GAIN Introduction
02-Vilim-GAIN_AIML_Workshop-2021.10.05.pdf
  
AI/ML Workshop - Purpose, Objective
03-Stevens-GAIN_AIML_Workshop.2021.10.05.pdf
  
AI Overview and Future Trends
04-Allen-GAIN_AIML_Workshop-2021.10.05.pdf
  
Microsoft AI
05-Kropaczek-GAIN_AIML_Workshop-2021.10.05.pdf
  
Optimization and Core Design
06-Vilim-GAIN_AIML_Workshop-2021.10-05.pdf
  
Commercial Reactor Applications of AI/ML
07-Everett-GAIN_AIML_Workshop-2021.10.05.pdf
  
AI/ML: Fast Reactor Perspective
08-Lathem-GAIN_AIML_Workshop[-2021.10.05.pdf
  
Molten Salt Reactor Technology Working Group
09-Helm_GAIN_AIML_Workshop.2021.10.05-rev.1.pdf
  
HTGR Diagnostics with ARPA-E
10-Shirvan_GAIN_AIML_Workshop-2021.10.05.pdf
  
Economic Solution for Low Carbon Process Heat: A Horizontal, Compact HTGR
11-Davis-GAIN_AIML_Workshop-2021.10.05.pdf
  
AI/ML Applications and Challenges for the Xe-100
12-Agarwal-Ramuhalli-GAIN_AIML_Workshop-2021.10.05.pdf
  
AI/ML Technologies: Enabling Advanced Reactor Deployment Economics
13-Ibarra-GAIN_AIML_Workshop.2021.10.06.pdf
  
Topical Sessions: Identification of Opportunities and Challenges for AI/ML Application
14-Touran- GAIN_AIML_Workshop_2021.10.06.pdf
  
NATRIUM Perspectives on Data-Centric Advanced Reactor Design and AI/ML
15-Johnson-GAIN_AIML_Workshop-2021.10.06.pdf
  
AI-Aided Design Investigations
16-Hu-GAIN_AIML_Workshop-2021.10.06.pdf
  
Topical Session 2: Operations and Maintenance
18-Austin-GAIN_AIML_Workshop-2021.10.06.pdf
  
AI/ML to Optimize Operations & Maintenance - Recent Successes in Existing Plants
19-Rabiti-GAIN_AIML_Workshop-2021.10.06.pdf
  
Session #3: Energy Storage and the Grid
21-Truong-GAIN_AIML_Workshop-2021.10.06.pdf
  
The Role of Long Duration Energy Storage in Decarbonizing the Grid
22-Bentzler-GAIN_AIML_Workshop-2021.10.06.pdf
  
Session #4: Materials
23-Sridharan_GAIN_AIML_Workshop-2021.10.06.pdf
  
Accelerating Materials Development Using AI/ML
24-Juan-GAIN_AIML_Workshop-2021.10.06-rev.1.pdf
  
Calibration and Uncertainty Estimates of the KP-FHR Materials Models via Machine Learning
25-Ibarra-GAIN_AIML_Workshop-2021.10.06.pdf
  
Topical Sessions: Planning for Future AI/ML Workshops