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Conference Spotlight
2026 ANS Winter Conference & Expo
November 15–18, 2026
Phoenix, AZ|Arizona Grand Resort & Spa
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Nuclear Science and Engineering
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Fusion Science and Technology
Latest News
PPPL develops framework for unifying tokamak ML control models
Princeton Plasma Physics Laboratory announced that researchers at the lab, in collaboration with Princeton University, have developed a general algorithm for prediction and control in tokamak systems and have tested it at DIII-D, as presented in a recent Nuclear Fusion paper.
According to the paper, most machine learning (ML)–based tools for use in fusion machines have been implemented as stand-alone demonstrations, aiming to predict the plasma profile, suppress a form of instability, for example. PPPL’s project provides a framework that aims to accommodate these disparate models into an integrated system, which the team calls PACMAN (Prediction and Control Using Machine Learning).
The Consortium for Advanced Simulation of Light Water Reactors Virtual Meeting
Technical Session|Sponsored by Thermal Hydraulic Methods
Wednesday, November 18, 2020|12:00–2:10PM EST|2
Session Chair:
Emilio Baglietto (MIT)
Alternate Chair:
Matteo Bucci (MIT)
Track Organizer:
Scott Palmtag (NC State Univ.)
Staff Producers:
Monica V Pham (MIT)
Ralph Wiser (MIT)
To access the session recording, you must be logged in and registered for the meeting.
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To access paper attachments, you must be logged in and registered for the meeting.
Multi-phase Flow Computational Fluid Dynamics Modeling and Simulation for Boiling Water Reactor Applications
Su-Jong Yoon (Idaho National Laboratory), Emilio Baglietto (Massachusetts Institute of Technology), Jinyong Feng (Massachusetts Institute of Technology)
Paper
Assessment of industrial applicability of DNB predictions in CFD with improved CASL FY19 closures
Jinyong Feng (Massachusetts Institute of Technology), Zachary Skirpan (Massachusetts Institute of Technology), Emilio Baglietto (Massachusetts Institute of Technology)
Industry Application of CASL DNB Prediction Methods
Robert Brewster (Westinghouse Electric Company), Emilio Baglietto (Massachusetts Institute of Technology), W. D. Pointer (Oak Ridge National Laboratory)
Virtual Pressurized Water Reactor CFD Modeling at Westinghouse
Robert Brewster (Westinghouse Electric Company), Emre Tatli (Westinghouse Electric Company), Yiban Xu (Westinghouse Electric Company), Emilio Baglietto (Massachusetts Institute of Technology)
