Exciton Science Webinar

Exciton Science Webinar

4 Sep 2020

Exciton Science Webinar

Dr Nas Meftahi- A shortcut to property prediction for photovoltaic material through machine learning

Join Dr Nas Meftahi from RMIT University and the ARC Centre of Excellence in Exciton Science.

In this work, she will explore machine learning approaches that can leverage computationally expensive DFT calculations to estimate key photovoltaics material properties quickly and accurately.

September 4, 11am

Chemistry Building, University of Melbourne, VIC, 3010
info@excitonscience.com

Exciton Science recognises the richness diversity brings and we pride ourselves on attempting to foster and promote a diverse and inclusive learning and working environment free from discrimination, harassment, vilification, or victimisation based on sexual orientation, sexuality, or gender identity.

Go to: Exciton Science Equity, Diversity and Inclusion page

The ARC Centre of Excellence in Exciton Science acknowledges the Traditional Custodians of the lands and waters on which we work. We acknowledge the scientific achievements of Traditional Custodians. We pay our respects to their Elders, past, present, and emerging.

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