Steph-Yves M. Louis

According to our database¹, Steph-Yves M. Louis authored at least 9 papers between 2019 and 2022.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2022

Scalable deeper graph neural networks for high-performance materials property prediction.

[BibT_eX]

[DOI]

Patterns, 2022

NODE-SELECT: A graph neural network based on a selective propagation technique.

[BibT_eX]

[DOI]

Neurocomputing, 2022

2021

Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art.

[BibT_eX]

[DOI]

Edirisuriya M. Dilanga Siriwardane

Yong Zhao

CoRR, 2021

Active learning based generative design for the discovery of wide bandgap materials.

[BibT_eX]

[DOI]

Rui Xin

Edirisuriya M. Dilanga Siriwardane

CoRR, 2021

2020

Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Machine Learning based prediction of noncentrosymmetric crystal materials.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Online Damage Monitoring of SiC<sub>f</sub>-SiC<sub>m</sub> Composite Materials Using Acoustic Emission and Deep Learning.

[BibT_eX]

[DOI]

IEEE Access, 2019

Steph-Yves M. Louis

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