| Intrinsic spin-dynamical properties of two-dimensional half-metallic ( = Cl, Br, I) ferromagnets: Insight from density functional theory calculations RK Ghosh, A Jose, G Kumari Physical Review B 103 (5), 054409, 2021 | 41 | 2021 |
| Regression tree-based active learning A Jose, JPA de Mendonça, E Devijver, N Jakse, V Monbet, R Poloni Data Mining and Knowledge Discovery 38 (2), 420-460, 2024 | 13 | 2024 |
| Informative Training Data for Efficient Property Prediction in Metal–Organic Frameworks by Active Learning A Jose, E Devijver, N Jakse, R Poloni Journal of the American Chemical Society, 2024 | 11 | 2024 |
| Data-Driven Design of Electroactive Metal-Organic Frameworks A Jose | | 2025 |
| Active Learning approaches to Discover Spin-Crossover Metal Organic Frameworks for Carbon Capture A Jose Université Grenoble Alpes [2020-....], 2024 | | 2024 |
| Approches d'apprentissage actif pour la découverte de réseaux métallo-organiques à transition de spin pour la capture de CO2 A Jose Université Grenoble Alpes, 2024 | | 2024 |
| Classification Tree-based Active Learning: A Wrapper Approach A Jose, E Devijver, MR Amini, N Jakse, R Poloni http://arxiv.org/abs/2404.09953, 2024 | | 2024 |
| Tree-based Quantile Active Learning for automated discovery of MOFs A Jose, E Devijver, N Jakse, V Monbet, R Poloni AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 2023 | | 2023 |
| Privacy in Machine Learning R Cummings, M Valla, L Nesterenko, T El Ahmad, M Ahmadipour, V Lachi, ... | | 2022 |
Roberta PoloniCNRS GrenobleVerified email at grenoble-inp.fr
