| Structural properties of supercooled deep eutectic solvents: Choline chloride–thiourea compared to reline EA Golysheva, NA Maslennikova, DS Baranov, SA Dzuba Physical Chemistry Chemical Physics 24 (10), 5974-5981, 2022 | 4 | 2022 |
| Evidence for an ordering transition near 120 K in an intrinsically disordered protein, casein NA Maslennikova, EA Golysheva, SA Dzuba Molecules 26 (19), 5971, 2021 | 4 | 2021 |
| Deep Learning Hydrodynamic Forecasting for Flooded Region Assessment in Near-Real-Time (DL Hydro-FRAN) F Haces-Garcia, N Maslennikova, CL Glennie, HS Rifai, V Hoskere, ... arXiv preprint arXiv:2305.12052, 2023 | 1 | 2023 |
| Monitoring reservoir water elevation changes using Jason-2/3 altimetry satellite missions: exploring the capabilities of JASTER (Jason-2/3 Altimetry Stand-Alone Tool for … N Ross, A Rostami, H Lee, CH Chang, F Hossain, P Milillo, TLT Du, ... International Journal of Digital Earth 17 (1), 2406387, 2024 | | 2024 |
| Automated grounding line delineation using deep learning and phase gradient-based approaches on COSMO-SkyMed DInSAR data N Ross, P Milillo, L Dini Remote Sensing of Environment 315, 114429, 2024 | | 2024 |
| Importance of ice elasticity in simulating tide-induced grounding line variations along prograde bed slopes N Maslennikova, P Milillo, KB Nakshatrala, R Ballarini, A Stubblefield, ... EGUsphere 2024, 1-31, 2024 | | 2024 |
| X-band COSMO-SkyMed Data Grounding Line Mapping Using Deep Learning N Maslennikova, P Milillo, L Dini, Y Mohajerani, E Rignot, B Scheuchl, ... Fall Meeting 2022, 2022 | | 2022 |
| Automated Grounding Line Delineation Using Deep Learning and Phase Gradient-Based Approaches on Cosmo-Skymed Dinsar Data N Maslennikova, P Milillo, L Dini Available at SSRN 4854007, 0 | | |
