Skip to main content

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
In person

Venue Information

Country: Spain
Venue Details: Click here

Training Content and Scope

Scientific Domain
Technical Domain
Level of Instruction
Beginner
Intermediate
Sector of the Target Audience
Research and Academia
HPC Profile of Target Audience
Application Users
Application Developers
Language of Instruction

Other Information

Supporting Project(s)
MaX
Event/Course Description

Advanced SIESTA Workshop 2025

June 2, 2025 - June 5, 2025

Registration deadline: May 5, 2025

Location: Catalan Institute of Nanoscience and Nanotechnology, UAB Campus, Barcelona Area, Spain

Hosting node: CECAM-ES

Additional sponsors: Psi-k and MaX CoE

 

Organisers

  • Catalina Coll (Institut Català de Nanociència i Nanotecnologia)
  • José María Escartín Esteban (Catalan Institute of Nanoscience and Nanotechnology (ICN2))
  • Roberta Farris (Institut Català de Nanociència i Nanotecnologia (ICN2))
  • Federico Nicolás Pedron (Catalan Institute of Nanoscience and Nanotechnology (ICN2))
  • Miguel Pruneda (Consejo Superior de Investigaciones Científicas (CSIC))

The unique advantages of the SIESTA method[1][2] allow for the exploration of boundaries that are hard to be achieved by other DFT approaches. In this Workshop, we will showcase and discuss state-of-the-art research that relies on SIESTA and its interfaces with other computational tools.

Examples of these include the calculation of advanced magnetic properties (relying on TB2J[3]), thermal conductivity (via TDEP[4]), electrochemical processes (via SIESTA's own QM/MM interface[5]), potential energy surface explorations (with SIESTA/LUA) and electron-phonon coupling phenomena (with the elph interface). The usage of SIESTA in exascale and pre-exascale systems will be discussed, covering different technologies available for the calculation of electronic properties with tens of thousands of atoms. We will also include a discussion on how machine learning technologies intertwine with SIESTA, be it as a means to accelerate and improve calculations, or to use SIESTA as a provider for training data in other neural network approaches.

In this 3-day workshop, experts on the different topics will showcase current advances on their respective areas while also providing guidelines and opening the discussion for new approaches and ideas. A few selected sessions will also include short hands-on sections to further exemplify their capabilities.

References

[1] J. Soler, E. Artacho, J. Gale, A. García, J. Junquera, P. Ordejón, D. Sánchez-Portal, J. Phys.: Condens. Matter, 14, 2745-2779 (2002)
[2] A. García, N. Papior, A. Akhtar, E. Artacho, V. Blum, E. Bosoni, P. Brandimarte, M. Brandbyge, J. Cerdá, F. Corsetti, R. Cuadrado, V. Dikan, J. Ferrer, J. Gale, P. García-Fernández, V. García-Suárez, S. García, G. Huhs, S. Illera, R. Korytár, P. Koval, I. Lebedeva, L. Lin, P. López-Tarifa, S. Mayo, S. Mohr, P. Ordejón, A. Postnikov, Y. Pouillon, M. Pruneda, R. Robles, D. Sánchez-Portal, J. Soler, R. Ullah, V. Yu, J. Junquera, The Journal of Chemical Physics, 152, (2020)
[3] X. He, N. Helbig, M. Verstraete, E. Bousquet, Computer Physics Communications, 264, 107938 (2021)
[4] F. Knoop, N. Shulumba, A. Castellano, J. Batista, R. Farris, M. Verstraete, M. Heine, D. Broido, D. Kim, J. Klarbring, I. Abrikosov, S. Simak, O. Hellman, JOSS., 9, 6150 (2024)
[5] C. Sanz-Navarro, R. Grima, A. García, E. Bea, A. Soba, J. Cela, P. Ordejón, Theor. Chem. Acc., 128, 825-833 (2010)