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MatSQ Upcoming Webinar | Tue. 28th of November: ... (No replies)

gmogni

7 months ago

gmogni 7 months ago

Dear Community Members,

 

We are thrilled to announce another fascinating episode in our Webinar Series at Materials Square, to which you are all invited to participate!

 

Please follow this link for free registration: https://www.materialssquare.com/webinar

 

Webinar Title: "From superconductors to giant planets: a computational window on materials"

 

Presenter: Prof Chris J. Pickard (University of Cambridge, UK)

 

In this webinar, Prof. Pickard will discuss various computational methods for investigating materials with extreme properties and under extreme physical conditions. Modern methods for computing the properties of realistic materials from first principles (starting from quantum mechanics) have resulted in robust, efficient, and easy to use computer codes. With the explosion of available computational resources, and increasingly, machine learning, it has become possible to search though the vast space of compositions and arrangements of atoms to “discover” new materials with extreme properties, or under extreme and experimentally difficult to access conditions. Examples range from the computational prediction of superconductors with very high superconducting transition temperatures, which at least in some cases have been confirmed experimentally, to the prediction of the behavior of matter in the center of giant planets, or even white dwarf stars.

 

The webinar will be held according to the following international schedules:

• Tue, Nov 28, 2023, 06:00 ~ 07:00 | Los Angeles (PDT)
• Tue, Nov 28, 2023, 09:00 ~ 10:00 | New York (EDT)
• Tue, Nov 28, 2023, 15:00 ~ 16:00 | Paris (CET)
• Tue, Nov 28, 2023, 17:00 ~ 18:00 | Riyadh (KSA)
• Tue, Nov 28, 2023, 19:30 ~ 20:30 | New Delhi (IST)
• Tue, Nov 28, 2023, 23:00 ~ 24:00 | Seoul (KST)

As always, registration for Materials Square webinars is completely FREE.

 

We look forward to welcoming you virtually! Many thanks for your interest and your consideration,

 

The Virtual Lab Team