Published July 14, 2026 | Version v1.0.1
Software Open

Cross-study machine-learning benchmark for nanolubricant friction and wear (code and data)

Authors/Creators

Description

Cross-Study Benchmarking of Machine-Learning Models for Nanolubricant Friction and Wear: A Leave-One-Study-Out Evaluation with FeasibilityFiltered NSGA-II Screening

Notes

If you use this software or dataset, please cite it as below, and credit the original experimental studies listed in data/data_sources.csv.

Files

muhammedanazkhan-oss/Cross-Study-Benchmarking-of-Machine-Learning-Models-for-Nanolubricant-Friction-and-Wear-v1.0.1.zip

Files (91.7 kB)

Additional details

Related works

Is supplement to
Software: https://github.com/muhammedanazkhan-oss/Cross-Study-Benchmarking-of-Machine-Learning-Models-for-Nanolubricant-Friction-and-Wear/tree/v1.0.1 (URL)

Software

Repository URL
https://github.com/muhammedanazkhan-oss/Cross-Study-Benchmarking-of-Machine-Learning-Models-for-Nanolubricant-Friction-and-Wear