The ultimate goal of the U.S. Transport Task Force (TTF) is to develop a physics-based understanding of particle, momentum and heat transport in magnetic fusion devices. This understanding should be of sufficient depth that it allows the development of predictive models of plasma transport that can be validated against experiment, and then used to simulate the future performance of burning plasmas in ITER, and next-step fusion energy reactors. To achieve success in transport science, it is essential to characterize local fluctuations and transport in fusion grade plasmas, to understand the basic mechanisms responsible for transport, and ultimately to control these transport processes. These goals must be pursued in multiple research thrust, and the TTF workshop focus topics evolve to reflect emerging advances in physics understanding.
The 2017 Workshop will introduce an emphasis on developing and using transport tools to predict the outcome of experiments in present fusion plasma research machines. This Predict First Initiative will enhance the efficient use of experimental runtime in the near term and will provide more rigorous validation tests for the theory taking the next step towards the ultimate goal of the TTF to produce validated predictive transport models.
Transport prediction for experimental planning and real time control systems:
Advances in Core Transport:
Impact of 3D fields on Transport:
Pedestal structure and dynamics:
Transport induced by energetic particle (EP) instabilities:
Scrape off layer (SOL) transport and impact on core plasma: