ICTP 2021: Data-Driven Research on Plasmas

This event will be held online as a virtual Workshop from 13 – 17 December 2021.

This School will assist Ph.D. students and other early-stage career researchers to develop their quantitative understanding of the fundamental processes that produce the observed behaviour and properties of plasmas; through lectures and practical computing sessions they will also gain skills in the application of modern data science techniques to the calculation and evaluation of data on these processes. Scientists in developing countries without extensive experimental research facilities will particularly benefit from such training in modern, data-driven computational physics.

Further practical details are available at the ICTP webpage for this event.

Directors

  • Christian Hill (IAEA)
  • Ludmila Marian (IAEA)
  • Hyun-Kyung Chung (Korea Institute of Fusion Energy, Republic of Korea)
  • Claudio Mendoza (Western Michigan University, USA)
  • Yuri Ralchenko (National Institute of Standards and Technology, USA)
  • Udo von Toussaint (Max Planck Institute for Plasma Physics, Garching, Germany)

Local Organiser

  • George Thompson

Participants by Application

Successful participants by application are expected to be early-stage career researchers (at about the postgraduate student and post-doc level) working in the field of modelling and simulation of radiation damage in nuclear energy research. Applications for participation are accepted through the ICTP webpage for this event.

There is no registration fee for this Workshop.

Agenda

Monday, 13 December 2021

14:00 – 14:30Opening, welcome and introductions; administrative details
14:30 – 15:30Ludmila MARIAN (IAEA)
Using the Linux shell and Jupyter Notebook
15:30 – 16:30Yuri RALCHENKO (National Institute of Standards and Technology, United States of America)
Plasma Emission Modelling
16:30 – 17:30Computing practicals: technical briefing

Tuesday, 14 December 2021

14:00 – 17:00Practical exercises with the NIST atomic databases and the NIST LIBS database

Wednesday, 15 December 2021

14:00 – 15:00Review of Molecular Dynamics simulations for modelling plasma-surface interactions
15:00 – 16:00Udo VON TOUSSAINT (Max Planck Institute for Plasma Physics, Garching, Germany)
Theory of Bayesian determination of parameters for plasma-material interaction
16:00 – 17:00Introduction to LAMMPS

Thursday, 16 December 2021

14:00 – 17:00Demonstration and Practical exercises using LAMMPS for the Bayesian determination of PMI parameters from experimental data

Friday, 17 December 2021

14:00 – 15:30Claudio MENDOZA (Western Michigan University, United States of America)
Online data resources and Python libraries for plasma physics
with Christian HILL
15:30 – 16:30Topics in Machine Learning for Plasma Physics
16:30 – 17:00Question and Answer session

Presentations

Ludmila MARIAN (IAEA)
Using the Linux shell and Jupyter Notebook

Claudio MENDOZA (Western Michigan University, United States of America)
Online data resources and Python libraries for plasma physics
with Christian HILL

Yuri RALCHENKO (National Institute of Standards and Technology, United States of America)
Plasma Emission Modelling

Udo VON TOUSSAINT (Max Planck Institute for Plasma Physics, Garching, Germany)
Theory of Bayesian determination of parameters for plasma-material interaction

Review of Molecular Dynamics simulations for modelling plasma-surface interactions

Introduction to LAMMPS

Topics in Machine Learning for Plasma Physics