Program

ICDDPS-8 runs from 5 to 9 April 2027 at KAIST in Daejeon.

Scientific scope

Topics

Disruption prediction, reinforcement-learning plasma control, tokamak surrogate transport models, KSTAR and ITER data

Etch and deposition modelling, virtual metrology, run-to-run and chamber-matching control, semiconductor process data

Neural operators, physics-informed networks, reduced-order models, uncertainty quantification, accelerated kinetic simulation

Image and spectral analysis, tomography, sensor fusion, automated interpretation of high-rate diagnostic streams

FAIR data practice, cross-section and reaction databases, shared benchmarks, reproducibility in plasma ML

LLM agents for experiment planning, self-driving plasma experiments, active learning and Bayesian optimisation

The planned format follows previous ICDDPS meetings. The ICDDPS-8 timetable is not yet fixed.

Plenary and invited talks. Across fusion, low-temperature and processing plasmas.
Contributed talks and posters. Contributed oral sessions and extended poster sessions.

Recent editions have been accompanied by Physics of Plasmas special topics open to conference participants.