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Claudia Fanelli
Claudia Fanelli
Institute of Marine Science (CNR-ISMAR)
Verified email at artov.ismar.cnr.it
Title
Cited by
Cited by
Year
On the incorrect use and interpretation of the model for colloidal, spherical crystal growth
TG Myers, C Fanelli
Journal of Colloid and Interface Science 536, 98-104, 2019
112019
Magnetic nanodrug delivery in non-Newtonian blood flows
C Fanelli, K Kaouri, TN Phillips, TG Myers, F Font
Microfluidics and Nanofluidics 26 (10), 74, 2022
92022
Modelling nanocrystal growth via the precipitation method
C Fanelli, V Cregan, F Font, TG Myers
International Journal of Heat and Mass Transfer 165, 120643, 2021
62021
Mathematical Modelling of Nanocrystal Growth
C Fanelli, TG Myers, V Cregan
Progress in Industrial Mathematics at ECMI 2018, 67-73, 2019
12019
Using a Combination of High-Frequency Coastal Radar Dataset and Satellite Imagery to Study the Patterns Involved in the Coastal Countercurrent Events in the Gulf of Cadiz
C Fanelli, JJ Gomiz Pascual, M Bruno-Mejías, G Navarro
Remote Sensing 16 (4), 687, 2024
2024
CHANGE RECORD
AP Nardelli, C Tronconi, AP Nardelli, B Hackett, L Crosnier, B Buongiorno, ...
2023
Sea Surface Temperature Production Centre
A Pisano, C Fanelli, C Tronconi, C Cesarini, F La Padula, BB Nardelli
2023
PRODUCT USER MANUAL
A Pisano, C Fanelli, C Tronconi, C Cesarini, F La, BBN Padula
2022
Quality Information Document
A Pisano, C Fanelli, C Cesarini, F La Padula, BB Nardelli
2022
Deep-learning models for Single Image Super Resolution: applications to Mediterranean Sea SST products and SST gradients within the Copernicus Marine Service
C Fanelli, D Ciani, A Pisano, B Buongiorno Nardelli
Proceedings 23rd International GHRSST Science Team Meeting 2022, 142-146, 2022
2022
Diffusion Processes at Nanoscale
C Fanelli
Multidisciplinary Mathematical Modelling: Applications of Mathematics to the …, 2021
2021
Diffusion processes and nanoparticle growth
C Fanelli
Universitat Politècnica de Catalunya, 2020
2020
Nanoparticle evolution via the precipitation method
C Fanelli, V Cregan, F Font, TG Myers
arXiv preprint arXiv:1901.08990, 2019
2019
Improving the effective resolution of satellite-derived SST data via deep learning methods: an approach via Generative Adversarial Networks
C Fanelli, D Ciani, M Buzzicotti, T Li, A Pisano, BB Nardelli
2024 Ocean Sciences Meeting, 0
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