Advanced Simulation Services
Built by researchers and engineers with hands-on experience in fusion experiments, modeling, and ML-driven control.
- Feedforward Simulations:Customizable calculations for plasma equilibrium evolution.
- Discharge Scenario Building:Development of reliable discharge scenarios to achieve specific targets.
- Plasma Performance Optimization:Optimisation of plasma control and scenario to achieve specific performance goals.
- Disruption Simulation:Analysis of plasma dynamics before and during disruptions.
Variety of Scenarios
NSFsim supports a wide range of tasks in fusion research. It is used for simulation, experiment planning, disruption prediction and analysis, and plasma behavior studies.
Critically, it also provides a simulation environment for training machine learning (ML) models designed for plasma control and behavior prediction, by replicating complex plasma dynamics essential for developing advanced control systems.
NSFsim supports a wide range of tasks in fusion research. It is used for simulation, experiment planning, disruption prediction and analysis, and plasma behavior studies.
Critically, it also provides a simulation environment for training machine learning (ML) models designed for plasma control and behavior prediction, by replicating complex plasma dynamics essential for developing advanced control systems.
Tokamak Digital Replica
All equations are solved together in a self-consistent manner. The features of a real device are introduced through a mathematical abstraction known as a configuration or digital replica. This digital replica is based on the geometrical and electrical characteristics of the magnetic system and passive conducting structures, including poloidal field coils, the vacuum vessel, and the limiter. The computational domain is represented by a mesh, which can be customized for each part of the geometry element.
All equations are solved together in a self-consistent manner. The features of a real device are introduced through a mathematical abstraction known as a configuration or digital replica. This digital replica is based on the geometrical and electrical characteristics of the magnetic system and passive conducting structures, including poloidal field coils, the vacuum vessel, and the limiter. The computational domain is represented by a mesh, which can be customized for each part of the geometry element.
Trusted by leading fusion research institutions
Informed by decades of experimental expertise across global institutions
Accurate Predictions
By considering factors such as thermal conductivity, compression, and electron drift, NSFsim can accurately predict plasma evolution and solve reverse tasks, providing a comprehensive understanding of tokamak operations. This approach allows us to simulate the intricate details of plasma physics, magnetic fields, energetics, and control mechanisms.
By considering factors such as thermal conductivity, compression, and electron drift, NSFsim can accurately predict plasma evolution and solve reverse tasks, providing a comprehensive understanding of tokamak operations. This approach allows us to simulate the intricate details of plasma physics, magnetic fields, energetics, and control mechanisms.
Reliable Plasma Modeling for DIII-D, ISTTOK, SMART and Beyond
NSFsim is a 2D Grad-Shafranov solver for simulating and controlling free-boundary plasma equilibrium in tokamaks. It accurately couples plasma evolution with external circuits, conducting structures, and magnetic diagnostics, enabling reliable predictions across control scenarios. Built on the validated DINA approach, NSFsim has been tested on numerous tokamaks.
Simulations of DIII-D, ISTTOK, NSF NTT, SMART and others are available via the Fusion Twin Platform — a cloud-based service for running tokamak simulations and managing fusion data.
Fusion Twin Platform ➝
Simulations of DIII-D, ISTTOK, NSF NTT, SMART and others are available via the Fusion Twin Platform — a cloud-based service for running tokamak simulations and managing fusion data.
Fusion Twin Platform ➝
NSFsim allows us to solve a range of device-specific tasks, including:
-
Equilibrium reconstruction and interpretive modeling - Magnetic equilibrium and transport simulation
- Disruption prediction and analysis
- Synthetic dataset generation and validation
- Fast simulation environment for training reinforcement learning models in plasma control
- Scenario testing and optimization for control system development
What You Get
General
- Flexible simulation scenarios
- Passive structures simulation
Transport
- 1D core transport solver
- GYRO-BOHM, MMM9
- n/Tau impurity transport
Coming soon:
- Integration with TGLF / TGLF NN
- UEDGE impurity transport
Marketing and design
- Linear response controller for vertical stability
- Linear response controller for plasma density
- RZ position control
Coming soon:
- Linear models generator
Disruptions
- VDE
Coming soon:
- Halo currents
- Eddy currents
Equilibrium solver
- Forward free-boundary equilibrium solver
- Adaptive mesh
Coming soon:
- Equilibrium reconstruction
- Inverse calculation
Heating and Current Drive
- Parametric electron heating
- Parametric ion heating
Coming soon:
- ECRH heating (Travis)
Synthetic Diagnostics
- Probs
- Loops
Coming soon:
- ECE
Avalability
- ECRH simulation
- NBI simulation
- ICRH simulation
Publications
The following are recommended sources of information on the DINA simulation approach, NSFsim progress, and its use cases:
- the initial DINA publication,
- the ITER simulation by DINA,
- the paper about NSFsim validation at DIII-D,
- the EPS 2024 poster on NSFsim validation using DIII-D experimental data,
- NSFsim blog posts.
Send us your tokamak parameters or geometry data — we’ll create a validated digital replica in NSFsim and prepare a simulation-ready model for your use. Fast, accurate, and tailored to your setup.