AI-Accelerated Materials Discovery II
31 May 2023
P - Computations for materials – discovery, design and the role of data
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P09
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13:30
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15:00
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AI-Accelerated Materials Discovery II
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Londres 2 (Ground floor)
P - Computations for materials – discovery, design and the role of data
13:30
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1611
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How deep learning can help with materials design.
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S.
Sara
KADKHODAEI (Chicago)
14:00
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2511
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Machine Learning-Assisted Discovery of Lead-Free Perovskites for Solar Cell Applications
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J.
Jung
SEUNG HWAN (Seongdong-Gu, Seoul)
14:15
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2369
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Fundamentals of photoactive chiral materials from simulation workflows
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A.
Adriana
PIETROPAOLO (Catanzaro)
14:30
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2364
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Computational approaches for the design of materials with desired physicochemical properties
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K.
Konstantinos
KOTSIS (Dublin)
14:45
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2251
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Computational Design of Photocathodes for Next Generation Light Sources
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F.
Felix
MILDNER (London)
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