Calculs ab initio de la fonctionnalisation du graphène par l’azote O Malenfant-Thuot | 1 | 2018 |
Ab initio calculations of nitrogen functionalization of graphene O Malenfant-Thuot, G Robert Bigras, L Stafford, M Cote APS March Meeting Abstracts 2018, F35. 005, 2018 | 1 | 2018 |
Large-Scale Raman Spectrum Calculations in Graphene using Deep Learning O Malenfant-Thuot, D Shaaban Kabakibo, S Blackburn, B Rousseau, ... Bulletin of the American Physical Society, 2024 | | 2024 |
Ab initio study of the processes of nitrogen functionalisation in graphene O Malenfant-Thuot, M Morinière, M Côté Nanotechnology 35 (13), 135702, 2024 | | 2024 |
Electronic Response Quantities of Solids and Deep Learning K Ryczko, O Malenfant-Thuot, M Côté, I Tamblyn arXiv preprint arXiv:2108.07614, 2021 | | 2021 |
(Invited) Machine Learned Deep Neural Networks to Simulate Raman Spectrum of Defective Graphene Systems M Cote, O Malenfant-Thuot, K Ryczko, A Majumdar, I Tamblyn Electrochemical Society Meeting Abstracts 239, 604-604, 2021 | | 2021 |
Machine Learned Predictions of Complex Quantities from Differentiable Networks O Malenfant-Thuot, K Ryczko, I Tamblyn, M Cote APS March Meeting Abstracts 2021, B21. 007, 2021 | | 2021 |
(Invited) Dynamics of Nitrogen Functionalization of Graphene M Côté, O Malenfant-Thuot Electrochemical Society Meeting Abstracts 237, 735-735, 2020 | | 2020 |
Using Machine Learning Models to Predict Higher-Level Quantities from Energy Models O Malenfant-Thuot, M Cote Bulletin of the American Physical Society 65, 2020 | | 2020 |
Ab Initio Study of the Mechanisms of Nitrogen Functionalization of Graphene O Malenfant-Thuot, M Cote APS March Meeting Abstracts 2019, H12. 007, 2019 | | 2019 |
Ab Initio Calculations of Nitrogen Functionalization of Graphene O Malenfant-Thuot, G Robert-Bigras, L Stafford, M Côté APS March Meeting Abstracts 2017, A30. 008, 2017 | | 2017 |