2017 Talks/ Presentations

2017 PPPL Workshop: Theory and Simulation of Disruptions


8:00-8:25        Registration

8:25-8:30        Welcome and Logistics: A. Bhattacharjee

Session I: ITER and Other Large Experiments

Chair: A. Bhattacharjee

08:30-09:10    Disruption Mitigation in ITER—Workshop Report, Main Issues, and Next Steps: M. Lehnen

09:10-9:50      Shattered Pellet Injection Developments and Implementations on JET: L. Baylor

09:50-10:30    What Can be Learned From ASDEX Upgrade Experiments on Gas Assimilation and Its Interaction with Runaway Electrons: G . Pautasso

10:30-10:50    Coffee

10:50-11:30    Overview of the DIII–D Disruption Mitigation Experimental Program: N. Eidietis

11:30-12:00    Protection of ITER from Relativistic-Electron Damage: A. Boozer

12:00-12:30    Discussion on Session I

12:30-01:30    Lunch 

Session II: Halo Currents and Forces

Chair: G. Pautasso

01:30-02:10    A Multi-Machine Scaling of Halo Current Rotation: C. Myers 

02:10-02:40    Validation of Models for Asymmetric VDE Simulation in ITER: R. Roccella

02:40-03:10    Nonlinear Computations of VDEs with Toroidal Asymmetry: C. Sovinec

03:10-03:30    Coffee

03:30-04:10    3D Nonlinear Modeling of VDEs with M3D-C1: D. Pfefferle

04:10-04:50    Measurement of Scrape-Off Layer Current Dynamics During MHD Activity and Disruptions in HBT-EP: J. Levesque

04:50-05:20    Coherent Current-Carrying Filaments During Nonlinear ELMs and VDEs: F. Ebrahimi

05:20-06:00    M3D Simulations of Jet Disruptions and Runaway Electrons: H. Strauss

07:00-09:00    Group Dinner



Session III: Runaway Electron Physics

ChairN. Eidietis

08:00-08:30    Physics of the Creation and Mitigation of Runaway Electron Beams in Presence of Their Background Plasmas: C. Reux

08:30-09:10    Progress in Modeling Runaway Electron Physics: Y. Peysson

09:10-09:50    Full-Orbit and Backward Monte Carlo Simulation of Runaway Electrons: D. del-Castillo-Negrete

09:50-10:30    Runaway dynamics in disruptions: sliding and screening: T. Fulop

10:30-10:50    Coffee

10:50-11:30    Simulation of runaway electron diffusion in momentum space due to whistler wave instabilities: C. Liu

11:30-12:00    Topological Dependence of Runaway Avalanche Threshold in Momentum Space: C. McDevitt

12:00-12:30    Discussion on Session III

12:30-01:30    Lunch

 Session IV: Disruption Mitigation

ChairM. Lehnen

01:30-2:10      Shell Pellet Injection Modeling and Runaway Electron Pitch Angle Scattering Effects: V. Izzo

02:10-02:50    Study of MHD Destabilization and Injection Penetration of Shattered Pellet Injection by JOREK 3D Reduced MHD Simulation: D. Hu

02:50-03:20    Results from Recent Shattered Pellet Injection Research on DIII-D: D. Shiraki

03:20-03:40    Coffee

03:40-04:10    Fast Time Response Electromagnetic Particle Injection System for Disruption Mitigation (EPI): R. Raman

04:10-04:40    Controlling Runaway Vortex Via Exernally Injected High-Frequency Electromagnetic Waves: Z. Guo

04:40-05:10    Bucket Transport for Control of Runaway Electrons: H. Mynick

05:10-05:40    Suppression of High-Energy Electrons Generated in Both Steady and Disrupting MST Tokamak Plasmas: M. Pandya

05:40-06:10    Discussion on Session IV



Session V: More on Disruption Physics and Machine Learning

ChairA. Bhattacharjee

08:00-08:40    Simulation of the Evolution of Runaway Electrons in Tokamaks with Pellet Suppression and Instability Effects: D. Spong

08:40-09:10    Energetic Ion Effects on Disruptive Instabilities with Plasma Rotation and a Resistive Wall: D. Brennan

09:10-09:40    M3D-C1 Simulations of a Current Ramp-down Disruption in NSTX: S. Jardin

09:40-10:10    Characterizing and Forecasting of Global and Tearing Mode Stability for Tokamak Disruption Avoidance: J. Berkery

10:10-10:30    Coffee

10:30-11:00    A Theoretical Model for the Penetration of a Shattered-Pellet Debris Plume: P. Parks

11:00-11:20    Exploratory Machine Learning Studies on the DIII-D Database for Disruption Prediction: C. Rea

11:20-11:40    Data-Based Disruption Prediction: Development and Comparison of Machine-Learning Algorithms for DIII-D and Applicability to ITER: K. Kleijwegt

11:40-12:00    Big Data Machine Learning Studies of Tokamak Disruption Predictions: W. Tang   

12:00-12:30    Discussion on Session V and Adjournment