From owner-chemistry # - at - # ccl.net Thu Apr 20 02:32:01 2023
From: "Mosab BS mosab[*]simulation.re.kr" <owner-chemistry.&$at$&.server.ccl.net>
To: CCL
Subject: CCL: Webinar AI-driven search for functional materials: symbolic inferenc
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X-Original-From: "Mosab  BS" <mosab{=}simulation.re.kr>
Date: Thu, 20 Apr 2023 02:30:38 -0400


Sent to CCL by: "Mosab  BS" [mosab]^[simulation.re.kr]
[Webinar] AI-driven search for functional materials: symbolic inference in 
catalysis

Dear colleagues,

We are excited to announce that Materials Square is hosting a free webinar.
https://www.materialssquare.com/webinar

In this webinar, we invited Prof. Luca M. Ghiringhelli from Humboldt 
University of Berlin, a leading expert in AI-driven materials discovery. 
Prof. Ghiringhelli will share his cutting-edge strategies for accelerating 
the identification and design of optimal materials based on their desired 
properties and applications. A key focus of Prof. Ghiringhelli's research is 
to extract unseen patterns and develop predictive, data-driven models from a 
consistent body of experimental or theoretical data, using artificial 
intelligence (AI). This approach enables the construction of materials' 
(properties) maps, where distinct regions represent materials with different 
properties. One of the primary challenges in creating these maps lies in 
identifying suitable descriptive parameters, or descriptors, that define the 
regions of interest.
In this webinar, Prof. Ghiringhelli will present recent updates on novel 
methods for the AI-aided identification of descriptors and materials maps, 
tailored to work (also) with "small-data", and applied to important 
materials-science challenges such as the prediction of catalytic properties 
of experimentally and computationally characterized materials, and more. 
Additionally, Prof. Ghiringhelli will introduce the FAIRmat consortium and 
the NOMAD AI toolkit, an online platform for publishing and sharing curated 
Jupyter notebooks. 

Join us for this insightful MatSQ webinar to learn from a world-class expert 
and gain valuable knowledge about the latest developments in AI-driven 
materials research.

Title: AI-driven search for functional materials: symbolic inference in 
catalysis
Presenter: Prof. Luca M. Ghiringhelli (Physics Department and IRIS Adlershof, 
Humboldt University of Berlin, Germany)

Date (based on several time zone) :
Thu,  ,  (01:00 ~ 02:00) | Los Angeles (PDT)
Thu,  ,  (04:00 ~ 05:00) | New York (EDT)
Thu,  ,  (10:00 ~ 11:00) | Paris (CET)
Thu,  ,  (11:00 ~ 12:00) | Riyadh (KSA)
Thu,  ,  (13:30 ~ 14:30) | New Delhi (IST)
Thu,  ,  (17:00 ~ 18:00) | Seoul (KST)

(KST)Registration: https://www.materialssquare.com/webinar Registration is 
always FREE on materials square webinar.
See you virtual,