Author Page for Fangfang Wang

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

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Abstract:

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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

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Fangfang Wang

Nanjing University of Science and Technology

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Scholarly Papers (2)

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

Abstract:

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

Abstract:

Fangfang Wang

Nanjing University of Science and Technology

2

15

0

Scholarly Papers (2)

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

Abstract:

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

Abstract:

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