Results 111 to 120 of about 1,122 (172)

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Multi-Sensor Collaborative Positioning in Range-Only Single-Beacon Systems: A Differential Chan-Gauss-Newton Algorithm with Sequential Data Fusion. [PDF]

Sensors (Basel)
Ye Y, He H, Lin E, Tang H.
europepmc   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Balance equations for physics-informed machine learning. [PDF]

Heliyon
Molnar SM, Godfrey J, Song B.
europepmc   +1 more source

Iron Energy Carrier: Experimental Characterisation, Combustion Diagnostic and Benchmarking with Other Clean Metal Fuels

Energy Science &Engineering, EarlyView.
This study investigates how iron particles burn across a wide size range, revealing late‐stage nanoparticle release and a previously unrecognised shift in combustion behaviour near 118 µm. High‐speed imaging, PMT diagnostics and SEM analyses have been conducted.
Zakaria Mansouri
wiley   +1 more source

Symplectic Geometry of Teichmüller Spaces for Surfaces with Ideal Boundary. [PDF]

Commun Math Phys
Alekseev A, Meinrenken E.
europepmc   +1 more source

Renewable Energies in Kazakhstan: Current Status, Potential, Challenges, and Opportunities

Energy Science &Engineering, EarlyView.
Kazakhstan has strong renewable energy potential, with wind as the leading resource and solar and other sources offering additional opportunities. Key challenges include limited infrastructure, investment needs, and grid‐related technical issues. Despite these barriers, renewables can boost economic diversification, enhance energy security, create jobs,
Lyailim Taizhanova, Akhmetov Berik, Samal Syrlybekkyzy, Shynar Baimukasheva, Symbat Koibakova, Nurkhat Zhakiyev, Mohammad Alhuyi Nazari, Mohamed Salem   +7 more
wiley   +1 more source

Time-optimal path parameterization planning for automatic fiber placement based on reachability quadratic analysis. [PDF]

Sci Rep
Dong G, Li W, Du Y, Yang L.
europepmc   +1 more source

A Probabilistic Fractional Order Physics Informed Mamba Kolmogorov‐Arnold Network for State‐of‐Charge Estimation in Grid‐Connected Battery Energy Storage Systems

Energy Science &Engineering, EarlyView.
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat, Subhash Chandra, Vinay Kumar Deolia   +2 more
wiley   +1 more source

Thermo-Mechanical Analysis for Composite Cylindrical Shells with Temperature-Dependent Material Properties Under Combined Thermal and Mechanical Loading. [PDF]

Materials (Basel)
Li J, Qian H, Lu C.
europepmc   +1 more source