| Light control with liquid crystalline elastomers MT Brannum, AM Steele, MC Venetos, LSTJ Korley, GE Wnek, TJ White Advanced Optical Materials 7 (6), 1801683, 2019 | 105 | 2019 |
| Machine learning full NMR chemical shift tensors of silicon oxides with equivariant graph neural networks MC Venetos, M Wen, KA Persson The Journal of Physical Chemistry A 127 (10), 2388-2398, 2023 | 8 | 2023 |
| Effective Local Geometry Descriptor for 29Si NMR Q4 Anisotropy MC Venetos, S Dwaraknath, KA Persson The Journal of Physical Chemistry C 125 (35), 19481-19488, 2021 | 5 | 2021 |
| Assessing the Accuracy of Density Functional Approximations for Predicting Hydrolysis Reaction Kinetics AR Epstein, EWC Spotte-Smith, MC Venetos, O Andriuc, KA Persson Journal of Chemical Theory and Computation 19 (11), 3159-3171, 2023 | 3 | 2023 |
| Deconvolution and Analysis of the 1H NMR Spectra of Crude Reaction Mixtures MC Venetos, M Elkin, C Delaney, JF Hartwig, KA Persson Journal of Chemical Information and Modeling 64 (8), 3008-3020, 2024 | | 2024 |
| CoeffNet: predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural network S Vijay, MC Venetos, EWC Spotte-Smith, AD Kaplan, M Wen, KA Persson Chemical Science, 2024 | | 2024 |
| HEPOM: A predictive framework for accelerated Hydrolysis Energy Predictions of Organic Molecules RD Guha, S Vargas, EWC Spotte-Smith, AR Epstein, MC Venetos, M Wen, ... AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 2023 | | 2023 |
| Modeling 29Si Chemical Shift in Crystalline and Amorphous Silicas M Venetos The Ohio State University, 2019 | | 2019 |
