Disruption Research at the 67th APS Division of Plasma Physics meeting
Great talks and SPARC contributions by the Disruptions team
The 67th Annual Meeting of the APS Division of Plasma Physics was held in Long Beach, California, from November 17–21, 2025.
Members of the MIT PSFC Disruption Group participated actively, contributing several oral and poster presentations. The Disruptions group presented on a wide variety of topics, with research in support of SPARC continuing to dominate the content. However, for the first time, work in support of the ARC pilot plant also made a showing; both from the Disruptions Group and our CFS collaborators.
In the MFE: Disruptions and Control oral session, graduating PhD student Allen Wang, as well as postdocs Arunav Kumar, Enrico Panontin, and Rishabh Datta gave talks on the development of surrogate models for inverse Grad-Shafranov solvers and vertical stability, and Hard X-ray synthetic diagnostics for Runaway Electron (RE) detection and the investigation of 3D effects on their generation in SPARC. In the MFE: High Field Tokamaks oral session, Scientists Cristina Rea and Cesar Clauser presented on the ongoing development of an Off-Normal Warning system for SPARC and simulations of both hot and cold VDEs on ARC. And within the MFE: Research in Support of ITER oral session, graduating PhD student Andrew Maris gave a talk on the collisionality scaling of H-mode density limits.
Throughout the MFE: Analytical, computational, AI/ML techniques, MFE: High Field Tokamaks, and MFE: MHD and stability poster sessions, the Disruptions group presented 14 posters, covering a wide range of topics from software tools for disruption analysis, to simulations of disruptions, plasma stability, SPARC magnetics, and more. More than half of these presentations focused on SPARC, but many also discussed topics generalizable to any machine.
For more details on the various contributions, refer to the table below. The complete scientific program is available on the APS-DPP website.
| Presenter | Type | Title | Session |
|---|---|---|---|
| A Maris | Oral | Collisionality scaling of the tokamak density limit: data-driven analysis, cross-device prediction, and real-time avoidance | BO04.5 |
| C Rea | Oral | Research in support of the SPARC Off-Normal Warning System | JO04.9 |
| C Clauser | Oral | Assessment of Cold and Hot Vertical Displacement Events in ARC-like plasmas | JO04.14 |
| R Datta | Oral | The effect of 3-D MHD activity on runaway electron generation during SPARC disruptions | UO09.4 |
| E Panontin | Oral | A synthetic diagnostic for Hard X-ray signal levels from runaway electrons on SPARC | UO09.5 |
| A Kumar | Oral | Physics-Guided Fast Surrogate for Real-Time Control of Vertical Stability and X-point targets in ARC-class Fusion Pilot Plant | UO09.8 |
| A Wang | Oral | Magnetic Control with an Inverse Grad-Shafranov Neural Network | UO09.9 |
| Z Keith | Poster | Enabling data-driven NTM studies with advanced mode labeling | BP13.164 |
| A Damsell | Poster | Assessment of vertical instability and passive stabilization in SPARC-like plasmas | BP13.166 |
| R Granetz | Poster | Status of the SPARC Magnetic Diagnostics | NP13.141 |
| L Murphy | Poster | Linear analysis of SPARC H-mode pedestal stability using M3D-C1 | NP13.146 |
| A Feyrer | Poster | Benchmarking runaway electron simulations in HEAT with Alcator C-Mod experiments | NP13.152 |
| R Chandra | Poster | Synthetic magnetic diagnostic integration on SPARC and C-Mod for MHD mode identification | NP13.153 |
| S Benjamin | Poster | Nonlinear tearing stability analysis of ARC and SPARC using a toroidal Rutherford equation coupled to STRIDE and resistive DCON | NP13.154 |
| AR Saperstein | Poster | Validation of simulated radiative collapse events in TORAX | NP13.155 |
| B Stein-Lubrano | Poster | Developments in SPARC disruption radiation modeling with Emis3D | NP13.156 |
| H Wietfeldt | Poster | Characterization of UFOs on Alcator C-Mod and WEST to inform SPARC operation | NP13.157 |
| Q Cheng | Poster | Accelerating High-Fidelity Parametric Thermal Quench Simulations via Neural Operator Preconditioning for Disruption Mitigation in Tokamaks | NP13.158 |
| EZ Cornejo | Poster | Time series classification algorithms for confinement regime identification in C-Mod | NP13.163 |
| GL Trevisan | Poster | A large-scale automated EFIT recomputation workflow for disruption studies at 1 kHz | PP13.88 |
| Y Wei | Poster | Scikit-disruption: machine learning toolkit for disruption analysis | PP13.93 |
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