Methods for Materials Discovery II

Thursday, June 1, 2023
P - Computations for materials – discovery, design and the role of data P13 4:30 PM > 6:30 PM Methods for Materials Discovery II Londres 2 (Ground floor) P - Computations for materials – discovery, design and the role of data

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

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