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The "Lavoisier discussions" (LD) are specialized foresight seminars and round table discussions on an emerging theme covered by the research network GDR HOWDI / GDR-I |
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| Within the frame of AI4AM event, the LD will be focused on – AI for 2D Materials Production, Characterization & Design – As evidenced by the 2024 Nobel Laureates in Physics and Chemistry, AI for materials design has become the focus of a lot of attention and the whole research community working on 2D Materials, a community which is currently recurring more and more to AI-type of tools for materials production, characterization and theoretical design, so a LD on these topics was urgent. During the LD, short talks by researchers actively involved in this topic will be complemented by round tables to discuss opportunities and challenges for the community. |
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Sonia Conesa Boj |
TU Delft
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The Netherlands |
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Minh Tuan Dau |
Université Côte d’Azur, CNRS, CRHEA |
France |
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Simon Dubois |
UCL |
Belgium |
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José-Hugo Garcia |
ICN2 |
Spain |
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Romain Gautier |
IMN |
France |
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Nicola Marzari |
EPFL |
Switzerland |
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Antonio Rossi |
ITT |
Italy |
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Jan-Lucas Uslu |
Stanford University |
USA |
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Sonia Conesa Boj (TU Delft
, The Netherlands)
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AI-assisted characterization of van der Waals nanostructures
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Minh Tuan Dau (Université Côte d’Azur, CNRS, CRHEA, France)
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Towards data engineering and model selection in predictive regression of 2D materials properties
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Simon Dubois (UCL, Belgium)
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Inference Based Electronic Models: From Shallow to Deep Learning
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José-Hugo Garcia (ICN2, Spain)
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2D materials based Spintronics with AI
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Romain Gautier (IMN, France)
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Machine Learning Design of Low-Dimensional Hybrid Metal Halides with Perovskite Structure Type
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Nicola Marzari (EPFL, Switzerland)
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Exploring the electronic-structure genome
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Antonio Rossi (ITT, Italy)
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AI-Driven Protocol for 2D Materials Growth: Integrating Adaptive Synthesis and Spectral Analysis
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Jan-Lucas Uslu (Stanford University, USA)
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Automating 2D material flake detection
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