MaX school: Ab-initio Many-Body Methods and Simulations with the Yambo Code

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
Mixed
Live (synchronous)

Venue Information

Country: Italy
Venue Details: Click here

Training Content and Scope

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

Other Information

Organiser
Supporting Project(s)
MaX
Event/Course Description

The Computational School on Ab-initio Many-body Methods and Simulations with the Yambo Code will introduce many-body perturbation theory (MBPT) approaches and specifically to first-principles excited-state simulations using the YAMBO code.

The target participants are graduate students, postdocs, and researchers who are interested in learning or in improving their knowledge and skills to calculate electronic and optical properties of materials, beyond the well-known DFT limitations and using an efficient, highly parallelized and accurate many-body computational tool.

Both theoretical and technical lectures will be offered as well as dedicated hands-on sessions where students will learn how to use the code for materials of current research interest and how to optimize its use in a parallel environment. Several post-processing tools for the analysis of the results will be also introduced and practically applied.

General topics will include self-energy and quasiparticles concepts, the GW approximation, and the Bethe-Salpeter equation, all placed in the context of and linked with experimental measurements (photoemission, absorption, photoluminescence).

At variance with previous editions, this school will present some advanced lectures such as:

new algorithms developed to deal with electron-phonon interactions, real time evolution of equations of motion, time dependent polarization in terms of the Berry phase, and computation of non-linear optical properties.

The specific usage in massively parallel environments equipped with modern accelerated video cards (GPU’s) will be introduced.


Participants are required to have a pre-existing background in DFT and in running DFT simulations.

Lecturers:
C. ATTACCALITE, CNRS, Aix-Marseille University, France
A. FERRETTI, CNR-NANO, Italy
M. GRUNING, Queen’s University Belfast, UK
A. GUANDALINI, CNR-NANO, Italy
D. A. LEON VALIDO, CNR-NANO, Italy
A. MARINI, CNR-ISM, Italy
P. MELO, University of Utrecht, Netherlands
B. MONSERRAT SANCHEZ, University of Cambridge, UK
F. PALEARI, CNR-NANO, Italy
M. PALUMMO, Università di Roma Tor Vergata, Italy
S. RAFAELY-ABRAMSON, Weizmann Institute, Israel
L. REINING, École Polytechnique, France
D. SANGALLI, CNR-ISM, Italy
P. SHEVERDYAEVA, CNR-ISM, Italy
D. VARSANO, CNR-NANO, Italy
 

Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries.
There is no registration fee.

Due to the pandemic period the school is designed to allow participants to join part in person and part online. Female scientists are encouraged to apply.

In person participation: As regards the COVID-19 policy, we advise to follow the updated rules available on the ICTP page Access Guidelines for Visitors.