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[Webinar] Multiscale and data-driven methods for ... (No replies)
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Dear colleagues,
We are excited to introduce yet another enlightening session in our MatSQ Webinar Series at Materials Square, and we cordially invite you all! Kindly register for the event through the following link: https://www.materialssquare.com/webinar
In this webinar, we present our esteemed guest, Prof. James Kermode from the School of Engineering at the University of Warwick. Prof. Kermode is renowned for his avant-garde research focuses on multiscale materials modelling algorithms and software with a particular focus on machine learning and data-driven approaches. He currently directs the EPSRC Centre for Doctoral Training in Modelling of Heterogeneous Systems (HetSys) and the Warwick Centre for Predictive Modelling (WCPM).
During this webinar, Prof. Kermode will highlight the latest advancements in atomistic algorithms for chemo-mechanical systems where local chemistry and long-range stress converge, such as at crack tips or dislocation cores. He'll cover: (i) Hybrid quantum/classical methods, focusing on recent applications in dislocation motion in tungsten and diamond fracture, and (ii) The creation of machine learning surrogate models for electronic structure models or at the interatomic potential level.
Webinar Title: "Multiscale and data-driven methods for the simulation of material failure” (University of Warwick, UK)
The schedule for the webinar is as follows:
- Thurs, Oct 26, 2023, 02:00 ~ 03:00 | Los Angeles (PDT)
- Thurs, Oct 26, 2023, 05:00 ~ 06:00 | New York (EDT)
- Thurs, Oct 26, 2023, 11:00 ~ 12:00 | Paris (CEST)
- Thurs, Oct 26, 2023, 12:00 ~ 13:00 | Riyadh (KSA)
- Thurs, Oct 26, 2023, 14:30 ~ 15:30 | New Delhi (IST)
- Thurs, Oct 26, 2023, 18:00 ~ 19:00 | 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@ Virtual Lab Inc.