From owner-chemistry@ccl.net Mon Jun 13 22:02:01 2022
From: "MINKYU PARK minkyu.park]^[simulation.re.kr" <owner-chemistry . server.ccl.net>
To: CCL
Subject: CCL: Webinar ML Interatomic Potentials for Modeling Radiation Damage
Message-Id: <-54726-220613220058-11876-rTEd6iMaa+auc+9fsk6PFw . server.ccl.net>
X-Original-From: "MINKYU  PARK" <minkyu.park : simulation.re.kr>
Date: Mon, 13 Jun 2022 22:00:54 -0400


Sent to CCL by: "MINKYU  PARK" [minkyu.park|-|simulation.re.kr]
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 Professor Kai Nordlund (University of Helsinki), 
world-class scientist who developed the machine learning based interatomic 
potentials for the radiation damage materials. In previous work, he has 
studied Ion and electron irradiation-induced effects in nanostructured 
materials in JAP 107, 3 (2010), Defect production in collision cascades in 
elemental semiconductors and fcc metals in PRB 57, 7556 (1998). 

In this webinar, Prof. Kai Nordlund give a talk with Machine learning 
interatomic potentials for modelling radiation damage. Please feel free to 
register this, and discuss many fruitful information here. 

Title : Machine learning interatomic potentials for modelling radiation 
damage
Presenter : Kai Nordlund (University of Helsinki)
Date (based on several time zone)
- Mon, Jun 27, 2022, 22:00 ~ 23:00 | KST, Seoul
- Mon, Jun 27, 2022, 06:00 ~ 07:00 | PDT, Los Angeles
- Mon, Jun 27, 2022, 15:00 ~ 16:00 | CEST, Paris
- Mon, Jun 27, 2022, 18:30 ~ 19:30 | IST, New Delhi
Registration : https://www.materialssquare.com/webinar

Registration is always FREE on materials square webinar. 
See you in virtual, 

Minkyu Park, Vice President of Virtual Lab.