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Å·ÃÀAV Desktop Seminar: Claudiane Ouellet-Plamondon, Digital Discovery Outstanding Paper Award winner

24 October 2023 09:00-10:00, United Kingdom


Introduction
Welcome to the latest Å·ÃÀAV Desktop Seminar, sponsored by Digital Discovery to recognise the Digital Discovery Outstanding Paper Award 2022 winners, Claudiane Ouellet-Plamondon and Vasileios Sergis.

Join Professor Ouellet-Plamondon and Digital Discovery Associate Editor Dr Linda Hung, as they present their latest research. This one-hour seminar will allow researchers of all professional levels to connect and share ideas and ask questions. Find out more about the award using the information link below.

Speakers:
Professor Claudiane Ouellet-Plamondon (École de Technologie Supérieure Montreal, Canada)
Dr Linda Hung (Toyota Research Institute, United States), Associate Editor, Digital Discovery

Programme

Note that these times have been given in Pacific Daylight Time. Please convert to your local time zone if necessary.

0900 PDT Welcome, webinar etiquette and expectations
0905 PDT Introduction to the journal
0910 PDT Presentation from Prof. Ouellet-Plamondon (École de Technologie Supérieure Montreal, Canada)
0930 PDT Presentation from Dr Hung (Toyota Research Institute, United States), Associate Editor, Digital Discovery
0950 PDT Wrap-up and thanks

Useful links

Speakers
Claudiane Ouellet-Plamondon, École de Technologie Supérieure Montreal, Canada

Claudiane Ouellet-Plamondon is a full professor in the Department of Construction Engineering at the École de technologie supérieure (ÉTS) in Montreal, Canada. She holds the Canada Research Chair in Sustainable Multifunctional Materials in the perspective of the ecological transition and the circular economy. She studied a bachelor of engineering at Dalhousie University, a master’s degree in biological sciences at the University of Montreal, a PhD in geoenvironmental engineering from the University of Cambridge. She was a postdoctoral fellow at ETH Zurich.
 
Her research is on functional materials, robotic 3D printing of mortars, bio-based materials, earth construction, valorisation of industrial by-products in cement, concrete and other value-added materials, materials in a circular economy perspective, as well as the sustainability of buildings and cities. She firmly believes that modelling and artificial intelligence have become indispensable tools for designing advanced materials and understanding their behaviour.


Linda Hung, Toyota Research Institute, United States

Linda Hung is a Senior Research Scientist in the Accelerated Materials Design and Discovery division at Toyota Research Institute (TRI). She obtained her PhD in applied and computational mathematics from Princeton University, and held research positions at the Ecole Polytechnique (France), the University of Illinois Chicago, and the National Institute of Standards and Technology before joining TRI in 2017.
 
She has a background in density functional theory and other first-principles simulation methods, with applications in computational spectroscopy.  Her current work explores how machine learning can accelerate materials simulation, and how to integrate data-driven methods into discovery workflows. Her research focuses on energy materials and involves the development of software tools aiming to shorten the materials innovation timeline.



Venue

United Kingdom

Organised by
Alexander Whiteside (Å·ÃÀAV), Assistant Editor, Digital Discovery
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