Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Abílio M P De Jesus

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Materials (Basel, Switzerland)|April 27, 2024
Fatigue Crack Propagation of 51CrV4 Steels for Leaf Spring Suspensions of Railway Freight WagonsVítor M G Gomes, Grzegorz Lesiuk, José A F O Correia, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|September 24, 2023
Preface to the theme issue 'physics-informed machine learning and its structural integrity applications'Shun-Peng Zhu, Abílio M P De Jesus, Filippo Berto, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 19, 2023
Preface to the theme issue 'Physics-informed machine learning and its structural integrity applications (Part 2)'Shun-Peng Zhu, Abílio M P De Jesus, Filippo Berto, et al.
Materials (Basel, Switzerland)|June 20, 2019
PSO-BP Neural Network-Based Strain Prediction of Wind Turbine BladesXin Liu, Zheng Liu, Zhongwei Liang, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|September 24, 2023
Physics-informed machine learning and its structural integrity applications: state of the artShun-Peng Zhu, Lanyi Wang, Changqi Luo, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Materials (Basel, Switzerland)|April 27, 2024
Fatigue Crack Propagation of 51CrV4 Steels for Leaf Spring Suspensions of Railway Freight WagonsVítor M G Gomes, Grzegorz Lesiuk, José A F O Correia, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|September 24, 2023
Preface to the theme issue 'physics-informed machine learning and its structural integrity applications'Shun-Peng Zhu, Abílio M P De Jesus, Filippo Berto, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 19, 2023
Preface to the theme issue 'Physics-informed machine learning and its structural integrity applications (Part 2)'Shun-Peng Zhu, Abílio M P De Jesus, Filippo Berto, et al.
Materials (Basel, Switzerland)|June 20, 2019
PSO-BP Neural Network-Based Strain Prediction of Wind Turbine BladesXin Liu, Zheng Liu, Zhongwei Liang, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|September 24, 2023
Physics-informed machine learning and its structural integrity applications: state of the artShun-Peng Zhu, Lanyi Wang, Changqi Luo, et al.
Pageof 1