Dear colleagues,

We are thrilled to announce the next session in our Materials Square Webinar Series. It would be an honor to have you join us and delve deeper into the captivating realm of materials science. secure your spot by registering through this link: https://www.materialssquare.com/webinar.

Our distinguished speaker for this session is Taylor D. Sparks, Associate Professor of Materials Science & Engineering at the University of Utah. Prof. Sparks is at the forefront of innovating materials informatics and generative machine learning.

Delving into the heart of this webinar, Prof. Sparks will address the topic: "Materials informatics: Moving beyond screening via generative machine learning models". In this session, we'll explore the advanced capabilities of machine learning in materials science. While its rapid predictions have been game-changing, there's a critique that the outputs often mirror known materials. Can we expect true innovation from machine learning? We'll delve into next-gen generative models that envision new structures and touch upon tools like DiSCoVeR and SMACT to ensure credible and novel results. Join us at the intersection of cutting-edge technology and groundbreaking materials discovery.

Webinar Title: "Materials informatics: Moving beyond screening via generative machine learning models"

Presenter: Prof. Taylor D. Sparks (University of Utah, USA)

The schedule for the webinar is as follows:

- Tue, Sep 26, 2023, 21:00 ~ 22:00 | Los Angeles (PDT)

- Wed, Sep 27, 2023, 00:00 ~ 01:00 | New York (EDT)

- Wed, Sep 27, 2023, 06:00 ~ 07:00 | Paris (CEST)

- Wed, Sep 27, 2023, 07:00 ~ 08:00 | Riyadh (KSA)

- Wed, Sep 27, 2023, 09:30 ~ 10:30 | New Delhi (IST)

- Wed, Sep 27, 2023, 13:00 ~ 14:00 | Seoul (KST)

Secure your spot for our insightful session at https://www.materialssquare.com/webinar . As always, there is no registration fee for Materials Square webinars.

We look forward to having you with us virtually!

Kind regards,

Mosab banisalman@ Virtual Lab Inc.