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Enrico Gnecco

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

97

TOTAL CITATIONS

2

Scholarly Papers (4)

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1.

Microstructure Dependent Mitigation of AFM Plowing Wear in WSe2 by Water Immersion

Downloads 42 (1,183,237)

Microstructure Dependent Mitigation of AFM Plowing Wear in WSe2 by Water Immersion

Number of pages: 13 Posted: 19 Mar 2026
Hesam Khaksar, Wang Yue, Rong An, Tomas Polcar and Enrico Gnecco
affiliation not provided to SSRN, Czech Technical University in Prague, Nanjing University of Science and Technology, Czech Technical University - Department of Control Engineering and affiliation not provided to SSRN
Downloads 26 (1,430,393)

Abstract:

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WSe2, plowing wear, atomic force microscopy, hydration.

Microstructure Dependent Mitigation of AFM Plowing Wear in WSe2 by Water Immersion

Number of pages: 13 Posted: 17 Apr 2026
Hesam Khaksar, Yue Wang, Rong An, Tomas Polcar and Enrico Gnecco
affiliation not provided to SSRN, Czech Technical University in Prague, Nanjing University of Science and Technology, Czech Technical University - Department of Control Engineering and affiliation not provided to SSRN
Downloads 16 (1,559,710)

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WSe2, plowing wear, atomic force microscopy, hydration

2.

A Comparative Nanotribological Investigation on Amorphous and Polycrystalline Forms of Mos2

Number of pages: 16 Posted: 21 May 2024
Hesam Khaksar, Prashant Mittal, N. Daghbouj, Grzegorz Cios, Tomas Polcar and Enrico Gnecco
affiliation not provided to SSRN, affiliation not provided to SSRN, Czech Technical University - Department of Control Engineering, AGH University of Science and Technology, Czech Technical University - Department of Control Engineering and affiliation not provided to SSRN
Downloads 41 (1,170,409)
Citation 2

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MoS2, Ploughing wear, Atomic force microscopy, Nanoindentation, Friction, Archard law.

3.

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 8 (1,561,096)

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nanofriction, ionic liquid, Interface, Machine learning

4.

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:

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Machine Learning, lubricant, Ionic Liquid, prediction, friction