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Citations per year
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Cited by
All
Since 2019
Citations
24
24
h-index
2
2
i10-index
1
1
0
14
7
2022
2023
2024
6
14
4
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Ericsson Tetteh Chenebuah
Department of Mechanical Engineering,
University of Ottawa
Verified email at uottawa.ca
artificial intelligence
machine learning
deep generative modeling
energy optimization
solid-state materials
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Year
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
22
2021
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
2
2023
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
ET Chenebuah, M Nganbe, AB Tchagang
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