Methods for Materials Discovery II
Thursday, June 1, 2023
P - Computations for materials – discovery, design and the role of data
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P13
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4:30 PM
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6:30 PM
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Methods for Materials Discovery II
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Londres 2 (Ground floor)
P - Computations for materials – discovery, design and the role of data
4:30 PM
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2228
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Generative adversarial networks for microstrucute generation: A primer to Process-Structure linkage.
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G.
Gowtham
NIMMAL HARIBABU (Bengaluru)
5:00 PM
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1057
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Multiscale modelling to study the evolution of texture and associated deformation mechanism during single point incremental forming
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R.
Rahul
RAKSHIT (Kharagpur)
5:15 PM
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451
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A computational approach for the exciton diffusion in organic solar cells based on first-principles molecular dynamics
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C.
Cheick Oumar
DIARRA (Strasbourg)
5:30 PM
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761
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Efficient and reliable first-principles calculation method for evaluating electronic transport in complex materials
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Z.
Zhen
LI (Coventry)
5:45 PM
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191
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A Combined DFT and Machine Learning-Driven Discovery of g-C3N4 based Single Atom Catalysts for Efficient Hydrogen Generation
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M.
Mullapudi
V JYOTHIRMAI (Kanpur)
6:00 PM
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250
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Predicting PV-PEC promising materials based on chemical composition: data-driven accelerated machine learning study
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C.
Chihun
KIM (Seoul)
6:15 PM
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394
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Accelerated design for magnetocaloric performance in Mn-Fe-P-Si compounds using machine learning
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D.
Defang
TU (Shanghai)
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