default author photo

Francesca Mocci

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

93

TOTAL CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

Photostable Carbon Dots with Intense Green Emission in an Open Reactor Synthesis

Number of pages: 26 Posted: 25 Apr 2022
Marinella Striccoli, Gianluca Minervini, Annamaria Panniello, Antonino Madonia, Carlo Maria Carbonaro, Francesca Mocci, Teresa Sibillano, Cinzia Giannini, Roberto Comparelli, Chiara Ingrosso, Nicoletta Depalo, Elisabetta Fanizza and Maria Lucia Curri
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Università degli Studi di Bari “Aldo Moro” (UNIBA), affiliation not provided to SSRN, Institute for Chemical-Physical Processes (IPCF)-CNR SS Bari, Università degli Studi di Bari “Aldo Moro” (UNIBA) and Università degli Studi di Bari “Aldo Moro” (UNIBA)
Downloads 78 (823,616)

Abstract:

Loading...

Carbon dot, Open reactor, Catalyzed green synthesis, DFT, Fluorescence spectroscopy, Photobleaching

2.

High-precision prediction of nanoscale friction in ionic liquid films at solid interfaces by region-adaptive hybrid learning

Number of pages: 35 Posted: 04 Apr 2026
Fangfang Wang, Ziyi Wang, Zhongyang Dai, Aatto Laaksonen, Francesca Mocci, Enrico Gnecco and Rong An
Nanjing University of Science and Technology, Nanjing University of Science and Technology, affiliation not provided to SSRN, Stockholm University, affiliation not provided to SSRN, affiliation not provided to SSRN and Nanjing University of Science and Technology
Downloads 9 (1,561,096)

Abstract:

Loading...

nanofriction, ionic liquid, Interface, Machine learning

3.

Region-Adaptive Hybrid Learning Framework Enables High-Precision Prediction of Nanoscale Friction in Interfacial Ionic Liquids​

Number of pages: 34 Posted: 29 May 2026
Fangfang Wang, Ziyi Wang, Zhongyang Dai, Aatto Laaksonen, Francesca Mocci, Enrico Gnecco and Rong An
Nanjing University of Science and Technology, Nanjing University of Science and Technology, affiliation not provided to SSRN, Stockholm University, affiliation not provided to SSRN, affiliation not provided to SSRN and Nanjing University of Science and Technology
Downloads 6 (1,579,934)

Abstract:

Loading...

Machine Learning, lubricant, Ionic Liquid, prediction, friction