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Ericsson Tetteh Chenebuah
Ericsson Tetteh Chenebuah
Department of Mechanical Engineering, University of Ottawa
在 uottawa.ca 的电子邮件经过验证
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Comparative analysis of machine learning approaches on the prediction of the electronic properties of perovskites: A case study of ABX3 and A2BB’X6
ET Chenebuah, M Nganbe, AB Tchagang
Materials Today Communications 27, 102462, 2021
232021
A Fourier-transformed feature engineering design for predicting ternary perovskite properties by coupling a two-dimensional convolutional neural network with a support vector …
ET Chenebuah, M Nganbe, AB Tchagang
Materials Research Express 10 (2), 026301, 2023
22023
Artificial Intelligence Simulation and Design of Energy Materials with Targeted Properties
ET Chenebuah
Université d'Ottawa| University of Ottawa, 2024
2024
An inorganic ABX3 perovskite materials dataset for target property prediction and classification using machine learning
ET Chenebuah, DT Chenebuah
arXiv preprint arXiv:2312.11335, 2023
2023
An evolutionary variational autoencoder for perovskite discovery
ET Chenebuah, M Nganbe, AB Tchagang
Frontiers in Materials 10, 1233961, 2023
2023
Target-learning the Latent Space of a Variational Autoencoder model for the Inverse Design of Stable Perovskites.
E Chenebuah, M Nganbe, A Tchagang
Canadian AI, 2023
2023
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