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AIP-ARC Online Seminar: A shortcut to property prediction for photovoltaic material through machine learning – Exciton Science

Exciton Science Webinar

TITLE: 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.

Speaker: Dr Nas Meftahi, RMIT University

Dr Nas Meftahi, RMIT University

Date: September 4 @ 11:00 am - 12:00 pm

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