Science-based Artificial Intelligence and Machine Learning Institute
Stored: Science-based Artificial Intelligence and Machine Learning Institute
| ||||||||||||||||||||||
| ||||||||||||||||||||||
| ||||||||||||||||||||||
| ||||||||||||||||||||||
| ||||||||||||||||||||||
Science-based Artificial Intelligence and Machine Learning Institute (SAMI) is a crosscutting initiative within the National Energy Technology Laboratory that combines science-based models, artificial intelligence, and machine learning to expedite applied technology development for energy solutions, focusing on fossil energy systems and beyond. Established to push the frontiers of AI technology, SAMI collaborates with national labs, universities, and industry to create next-generation tools and architectures that enhance energy efficiency, environmental sustainability, and economic viability.
Mission
SAMI’s mission is to harness NETL’s expertise in computational science and AI/ML to develop innovative tools and methodologies that address pressing energy challenges, such as achieving net-zero carbon emissions by integrating science-informed models with data analytics. It supports the DOE’s goals by accelerating the maturation of technologies critical to fossil energy, renewable energy systems, and environmental justice through partnerships and cutting-edge research.[1]
Parent organization
SAMI operates under the National Energy Technology Laboratory, which provides its core infrastructure and research capabilities. The Department of Energy serves as the top organization, guiding SAMI’s alignment with national energy research priorities.[2]
Legislation
SAMI was not created by specific legislation but emerged as an initiative within NETL’s broader mission under DOE’s authority, particularly tied to strategic goals like the Fossil Energy and Carbon Management objectives post-2020.
Partners
SAMI collaborates with:
- National laboratories (e.g., Lawrence Berkeley National Laboratory)
- Universities for research advancements
- Industry partners for technology deployment[3]
Number of employees
SAMI does not have a distinct employee count; it leverages NETL’s workforce of approximately 1,400 across its sites, with researchers and data scientists contributing as needed.
Organization structure
SAMI operates as an institute within NETL, integrating expertise across:
- Computational Science Division develops AI/ML models.
- Energy Technology Development focuses on applied energy solutions.
- Data Analytics Group curates and analyzes energy data.
Leader
SAMI is led by a Director, with Brian J. Anderson previously noted as NETL Director overseeing such initiatives, though specific SAMI leadership may rotate.[4]
Divisions
The efforts include:
- Science-based Modeling for tools like MFiX and SMART.
- Data Curation managing platforms like EDX.
- AI/ML Applications for energy system optimization.
List of programs
Key SAMI programs include:
- Science-informed Machine Learning for Subsurface Applications (SMART)
- Multiphase Flow Science Tools (e.g., MFiX) - https://mfix.netl.doe.gov/
- Energy Data eXchange (EDX) - https://edx.netl.doe.gov/[5]
Last total enacted budget
SAMI lacks a standalone budget; it draws from NETL’s $1.02 billion FY 2024 allocation, with portions supporting AI/ML initiatives unspecified.[6]
Staff
SAMI utilizes NETL’s 1,400-strong staff, including computational scientists, engineers, and data analysts, with no separate headcount for the institute.
Funding
Funding is integrated into NETL’s budget, historically rising from $900 million (FY 2020) to $1.02 billion (FY 2024), supporting SAMI’s AI-driven energy research through DOE appropriations.
Services provided
SAMI provides AI/ML-driven solutions like predictive modeling for material properties, subsurface visualization tools, and energy system optimization, enhancing clean energy tech development.[7]
Regulations overseen
SAMI does not oversee regulations but supports NETL’s compliance with DOE energy and environmental policies.
Headquarters address
1450 Queen Ave SW, Albany, OR 97321, USA (NETL Albany site, noted for SAMI activities)
History
SAMI was formalized within NETL around 2020, aligning with DOE’s push for net-zero emissions, building on decades of NETL’s computational science legacy to integrate AI/ML into energy tech development.[8]
External links
References
- ↑ "Science-based AI/ML Institute (SAMI)". National Energy Technology Laboratory. https://netl.doe.gov/SAMI.
- ↑ "NETL Overview". U.S. Department of Energy. https://www.energy.gov/fecm/national-energy-technology-laboratory-netl.
- ↑ "SAMI Overview". National Energy Technology Laboratory. https://netl.doe.gov/SAMI.
- ↑ "NETL Leadership". National Energy Technology Laboratory. https://netl.doe.gov/about/leadership.
- ↑ "SAMI Programs". National Energy Technology Laboratory. https://netl.doe.gov/SAMI.
- ↑ "FY 2024 Budget Request". U.S. Department of Energy. https://www.energy.gov/fecm/articles/fy-2024-budget-request.
- ↑ "SAMI Services". National Energy Technology Laboratory. https://netl.doe.gov/SAMI.
- ↑ "SAMI History". National Energy Technology Laboratory. https://netl.doe.gov/SAMI.