[QE-users] MaX Yambo School @ ICTP, April 4-8 2022

[Andrea Ferretti]

Dear All,

for those interested (apologies for cross posting), 
please find below the annoucement of the next MaX Yambo school to be held
at ICTP in April 2022.

http://www.max-centre.eu/news-events/max-school-ab-initio-many-body-methods-and-simulations-yambo-code
http://indico.ictp.it/event/9780/

best
Andrea

---

We are pleased to announce the MaX school:

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

The school will take place from April  4th  to April 8th, 2022 at the 
International Center for Theoretical Physics (ICTP), Trieste. The school 
offers the possibility to participate in person and remotely.

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 MaX flagship code YAMBO.

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 
methods, including experience in running first principles simulations.

Due to the pandemic period the school is designed to allow a limited 
number of participants in person and offers the  possibility to follow the 
entire school (including hands-on sessions)  remotely.

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. In particular, applicants should check whether they have to 
undergo a quarantine period at the time of arrival. In this case, 
unfortunately it will not be possible to participate in presence for 
logistical reasons.


For more details and applications please follow these links:
http://www.max-centre.eu/news-events/max-school-ab-initio-many-body-methods-and-simulations-yambo-code

http://indico.ictp.it/event/9780/
Female scientists are encouraged to apply.
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
Thanks to the generous contribution of the MaX CoE, accommodation in 
single rooms is provided at the ICTP Guest Houses depending on the 
availability.

Deadlines:
For participation in person:  8th March  2022
For participation online: : 20th March 2022

The organisers:

Daniele Varsano (CNR-NANO), Maurizia Palummo (University of Rome Tor 
Vergata), Davide Sangalli (CNR-ISM), Andrea Marini (CNR-ISM). Local 
Organiser: Nicola Seriani (ICTP)


-- 
Andrea Ferretti, PhD
CNR Senior Researcher
Istituto Nanoscienze, S3 Center
via Campi 213/A, 41125, Modena, Italy
Tel: +39 059 2055322;  Skype: andrea_ferretti
URL: http://www.nano.cnr.it