| Predicting noncentrosymmetric quaternary tellurides using machine learningT12-P01 University of Alberta | Activity | 2021-07-28 | Balaranjan Selvaratnam, Anton Oliynyk, Lawrence Adutwum, Mar, A. |
| Revealing hidden patterns through chemical intuition and interpretable machine learning: A case study of binary rare-earth intermetallics RXT12-P01 University of Alberta | Publication | 2023-01-30 | Volodymyr Gvozdetskyi, Balaranjan Selvaratnam, Anton Oliynyk, Mar, A. |
| Explainable machine learning in materials chemistry: Decision trees as scoring functionT12-P01 University of Alberta | Activity | 2022-06-16 | |
| Machine-learning prediction of new Laves phases with experimental validationT12-P01 University of Alberta | Activity | 2022-06-16 | Ritobroto Sikdar, Balaranjan Selvaratnam, "Partha Jana ", "Nilanjan Roy ", Mar, A. |
| Predicting thermoelectric figures-of-merit for half-Heusler compounds using machine learningT12-P01 University of Alberta | Activity | 2022-06-16 | Balaranjan Selvaratnam, Volodymyr Gvozdetskyi, Mar, A. |
| Searching for new spinels using machine learningT12-P01 University of Alberta | Activity | 2022-06-17 | Vidyanshu Mishra, Balaranjan Selvaratnam, Mar, A. |
| Revealing hidden patterns through chemical intuition and interpretable machine learning: A case study of binary rare-earth intermetallics RXT12-P01 University of Alberta | Activity | 2022-07-27 | Volodymyr Gvozdetskyi, Balaranjan Selvaratnam, Anton Oliynyk, Mar, A. |
| Searching for new spinels using machine learningT12-P01 University of Alberta | Activity | 2022-07-27 | Vidyanshu Mishra, Balaranjan Selvaratnam, Mar, A. |
| Interpretable machine learning in solid state chemistry, with applications to perovskites, spinels, and rare-earth intermetallics: Finding descriptors using decision treesT12-P01 University of Alberta | Publication | 2023-06-30 | Balaranjan Selvaratnam, Anton Oliynyk, Mar, A. |
| Ahead by a Century: Discovery of Laves Phases Assisted by Machine LearningT12-P01 University of Alberta | Publication | 2024-03-19 | Ritobroto Sikdar, "Nilanjan Roy ", Balaranjan Selvaratnam, Vidyanshu Mishra, Dundappa Mumbaraddi, "Amit Mondal ", "Krishnendu Buxi ", Partha Pratim Jana, Mar, A. |
| Materials discovery through machine learning: Experimental validation and interpretable modelsT12-P01 University of Alberta | Activity | 2023-06-07 | Volodymyr Gvozdetskyi, Balaranjan Selvaratnam, Anton Oliynyk, Mar, A. |
| Revisiting the classification of spinels through machine learningT12-P01 University of Alberta | Activity | 2023-06-06 | Vidyanshu Mishra, Balaranjan Selvaratnam, Mar, A. |
| Machine-learning classification of Laves phases and prediction of new compoundsT12-P01 University of Alberta | Activity | 2023-06-08 | Ritobroto Sikdar, Balaranjan Selvaratnam, Vidyanshu Mishra, "Nilanjan Roy ", Partha Pratim Jana, Mar, A. |
| Can we use machine learning to find synthesizable compounds?T12-P01 University of Alberta | Activity | 2023-08-04 | Balaranjan Selvaratnam, Vidyanshu Mishra, Dundappa Mumbaraddi, "Maxwell Wallace ", Arkadii Pominov, Mar, A. |
| Discovery of Li-containing compounds with channel structures guided by machine learningT12-P01 University of Alberta | Activity | 2023-08-01 | Volodymyr Gvozdetskyi, Mohammad Jomaa, Balaranjan Selvaratnam, Mar, A. |
| Materials discovery of intermetallics through machine learning: Experimental validation and interpretable modelsT12-P01 University of Alberta | Activity | 2023-09-25 | Volodymyr Gvozdetskyi, Balaranjan Selvaratnam, Anton Oliynyk, Mar, A. |
| Discovery of ternary antimonides A–Al–Sb (A = Rb or Cs) with desired structural motifs guided by machine learningEditor's Choice. Special issue in memory of Frank DiSalvo.T12-P01 University of Alberta | Publication | 2024-06-09 | "Bryan Owens-Baird ", Volodymyr Gvozdetskyi, "Arka Sarkar ", Balaranjan Selvaratnam, Mar, A., "Kirill Kovnir " |
| Is there a simple descriptor to predict Laves phases?T12-P01 University of Alberta | Publication | 2025-01-27 | Ritobroto Sikdar, Balaranjan Selvaratnam, Vidyanshu Mishra, Mar, A. |
| How to separate two Ts in a pod: Classifying T- and T′-type Ruddlesden-Popper cuprates by machine learningT12-P01 University of Alberta | Publication | 2025-02-07 | Dmitry Vrublevskiy, "Loic Robert ", Balaranjan Selvaratnam, Mar, A. |
| Discovery of inorganic solids with desired structure motifs guided by machine learningT12-P01 University of Alberta | Activity | 2024-06-03 | Volodymyr Gvozdetskyi, "Bryan Owens-Baird ", Allison Thomé, "Arka Sarkar ", Balaranjan Selvaratnam, "Mohammed Jomaa ", "Kirill Kovnir ", Mar, A. |
| Expanding the compositional space of quaternary multi-principal element alloys through interpretable machine learning and experimental validationT12-P01 University of Alberta | Activity | 2024-06-03 | Volodymyr Gvozdetskyi, Allison Thomé, Balaranjan Selvaratnam, Mar, A. |
| Discovery of inorganic solids with desired structure motifs guided by machine learningT12-P01 University of Alberta | Activity | 2024-07-24 | "Bryan Owens-Baird ", Volodymyr Gvozdetskyi, "Arka Sarkar ", Balaranjan Selvaratnam, Mar, A., "Kirill Kovnir " |
