| Analyzing the vibrational signatures of thiophenol adsorbed on small gold clusters by DFT calculations CG Tetsassi Feugmo, V Liégeois ChemPhysChem 14 (8), 1633-1645, 2013 | 41 | 2013 |
| Machine-Learning-Driven High-Entropy Alloy Catalyst Discovery to Circumvent the Scaling Relation for CO2 Reduction Reaction ZW Chen, Z Gariepy, L Chen, X Yao, A Anand, SJ Liu, ... ACS Catalysis 12 (24), 14864-14871, 2022 | 26 | 2022 |
| Experimental and computational observations of immunogenic cobalt porphyrin lipid bilayers: Nanodomain-enhanced antigen association J Federizon, CGT Feugmo, WC Huang, X He, K Miura, A Razi, J Ortega, ... Pharmaceutics 13 (1), 98, 2021 | 14 | 2021 |
| Free energy and stacking of eumelanin nanoaggregates S Soltani, S Sowlati-Hashjin, CG Tetsassi Feugmo, M Karttunen The Journal of Physical Chemistry B 126 (8), 1805-1818, 2022 | 11 | 2022 |
| Theoretical Investigation of Vibrational Sum-Frequency Generation Signatures of Functionalized H Si (111) CG Tetsassi Feugmo, V Liégeois, B Champagne The Journal of Physical Chemistry C 119 (6), 3180-3191, 2015 | 11 | 2015 |
| Neural evolution structure generation: High entropy alloys CG Tetsassi Feugmo, K Ryczko, A Anand, CV Singh, I Tamblyn The Journal of Chemical Physics 155 (4), 2021 | 10 | 2021 |
| Towards modelling the vibrational signatures of functionalized surfaces: carboxylic acids on H–Si (111) surfaces CGT Feugmo, B Champagne, Y Caudano, F Cecchet, YJ Chabal, ... Journal of Physics: Condensed Matter 24 (12), 124111, 2012 | 9 | 2012 |
| Coupled-cluster sum-frequency generation nonlinear susceptibilities of methyl (CH 3) and methylene (CH 2) groups CGT Feugmo, V Liégeois, B Champagne Physical Chemistry Chemical Physics 19 (44), 29822-29832, 2017 | 6 | 2017 |
| Structural Investigation of DHICA Eumelanin Using Density Functional Theory and Classical Molecular Dynamics Simulations S Soltani, S Sowlati-Hashjin, CG Tetsassi Feugmo, M Karttunen Molecules 27 (23), 8417, 2022 | 3 | 2022 |
| Probing alkylsilane molecular structure on amorphous silica surfaces by sum frequency generation vibrational spectroscopy: First-principles calculations CG Tetsassi Feugmo, V Liégeois, Y Caudano, F Cecchet, B Champagne The Journal of Chemical Physics 150 (7), 2019 | 2 | 2019 |
| Accurately predicting molecular spectra with deep learning CG Tetsassi Feugmo Nature Computational Science 3 (11), 918-919, 2023 | | 2023 |
| Automatic graph representation algorithm for heterogeneous catalysis Z Gariepy, ZW Chen, I Tamblyn, CV Singh, CG Tetsassi Feugmo APL Machine Learning 1 (3), 2023 | | 2023 |
| New tools to unravel the vibrational signatures of molecules–Application to Raman optical activity and to sum-frequency generation signatures V Liégeois, CGT Feugmo, B Champagne YRMS@ 2019 PROGRAM, 0 | | |
| UNRAVELLING THE SUM-FREQUENCY GENERATION SIGNATURES OF FUNCTIONALIZED SURFACES USING QUANTUM CHEMISTRY CALCULATIONS V Liégeois, CGT Feugmo, B Champagnea | | |
| Analyzing the vibrational signatures of functionalized surfaces from DFT calculations. CGT FEUGMO, B CHAMPAGNE, Y Caudano, F Cecchet, V LIÉGEOIS | | |
