Jing Ma

affiliation not provided to SSRN

Learn more about SSRN Profiles

SCHOLARLY PAPERS

1

DOWNLOADS

45

TOTAL CITATIONS

0

Feedback

Scholarly Papers (1)

Sort by:

Actions:

View:
Selected
Original List
All Versions Hide All Versions
All Abstracts Hide All Abstracts

(Rank)

1.

Accurate prediction of long-term fatigue crack growth rate based on physical knowledge-informed transfer learning

Number of pages: 33 Posted: 10 Nov 2025

Weipeng Li, Zhouliang Deng, Dehui Wu, Xiedong Sun, Jing Ma and Lei Gan

Hunan University, affiliation not provided to SSRN, affiliation not provided to SSRN, Hunan University, affiliation not provided to SSRN and affiliation not provided to SSRN

Downloads 45 (1,145,425)

Abstract:

Feedback

All content on this site: Copyright © 2026 Elsevier Inc., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.

We use cookies to help provide and enhance our service and tailor content.

To learn more, visit .