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:
    Optimization of plasma behavior to meet specific performance goals.
  • Disruption Simulation:
    Analysis of plasma dynamics before and during disruptions.
Variety of Scenarios

NSFsim is leveraged for myriad purposes, including simulation, experiment planning, disruption prediction and analysis, research, and crucially, for training machine learning (ML) models designed for plasma control and behavior prediction by simulating complex plasma behaviors and dynamics to provide an essential environment for developing advanced control systems.
Tokamak Digital Replica

Solving all the equations together in a self-consistent manner requires the introduction of a mathematical abstraction of real devices. This is known as a configuration or digital replica, unique to each tokamak. The 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 calculation domain is represented by a mesh that can vary for each 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.
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 ➝
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-loop 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
Availabilit
  • Web UI – Fusion Twin Platform, fusiontwin.io
  • Professional services – contact us

Coming soon:
  • Web API
A team of physicists, control engineers,
and ML practitioners with a fusion-specific focus
Our team combines expertise in plasma physics, control systems, and machine learning for fusion. We’re not just developers—we’re researchers with hands-on experience in experimental tokamaks and ML-driven plasma control.
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Publications


The following are recommended sources of information on the DINA simulation approach, NSFsim progress, and its use cases:


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.