[QE-users] [Webinar] Large-scale machine-learning assisted discovery and characterization of materials
Dr.Mosab Banisalman
mosab at simulation.re.kr
Mon Jun 19 03:47:28 CEST 2023
Dear colleagues,
We are thrilled to announce another fascinating session in our MatSQ
Webinar Series at Materials Square, and you are all invited! Please follow
this link for registration: *https://www.materialssquare.com/webinar
<https://www.materialssquare.com/webinar>*.
We are honored to host *Prof. Miguel Marques* from the Institute of
Physics, Martin-Luther-Universität Halle-Wittenberg. Prof. Marques is a
distinguished scientist with a profound background in density functional
theory, superconductivity, and the application of machine learning to
materials science. His prodigious academic journey spans across several
countries, with noteworthy contributions in each.
Prof. Marques' groundbreaking research has been instrumental in shaping the
direction of contemporary materials science, with over *200* articles to
his name and *three* books published in the Springer's Lecture Notes in
Physics series. Furthermore, his reputation as a skilled educator is
underscored by his roles in organizing several summer schools and
international workshops, like the renowned Benasque School and
International Workshop in TDDFT.
In this webinar, Prof. Marques will be shedding light on the topic of
"Large-scale machine-learning assisted discovery and characterization of
materials." This webinar will provide an excellent opportunity to gain
in-depth insights into the application of machine learning techniques in
materials science, under the guidance of a world-class expert in the field.
*Title*: "*Large-scale machine-learning assisted discovery and
characterization of materials*"
Presenter: Prof. Miguel Alexandre Lopes Marques (Martin-Luther-Universität
Halle-Wittenberg)
The webinar will be held according to the following schedule:
*Thu, June 29, 2023, 01:00 ~ 02:00 | Los Angeles (PDT)*
*Thu, June 29, 2023, 04:00 ~ 05:00 | New York (EDT)*
*Thu, June 29, 2023, 10:00 ~ 11:00 | Paris (CEST)*
*Thu, June 29, 2023, 11:00 ~ 12:00 | Riyadh (KSA)*
*Thu, June 29, 2023, 13:30 ~ 14:30 | New Delhi (IST)*
*Thu, June 29, 2023, 17:00 ~ 18:00 | Seoul (KST)*
*Registration *is available at *https://www.materialssquare.com/webinar
<https://www.materialssquare.com/webinar>*. As always, registration for
Materials Square webinars is completely FREE.
We look forward to welcoming you virtually!
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