Results 231 to 240 of about 29,295 (312)

Beyond wind speed: Integrating oceanic indices and time-lagged features for superior wind energy prediction. [PDF]

PLoS One
Rathnayake N, Yadev M, Jayasinghe J, Rathnayake U, Minamide M, Hoshino Y.   +5 more
europepmc   +1 more source

Evaluation of Plasticity and Creep Parameters From Tensile Stress–Strain Data for a Range of Strain Rates

Advanced Engineering Materials, EarlyView.
This plot compares experimental tensile stress–strain curves (with 4 different strain rates) and corresponding modelled curves (obtained using the optimised sets of Voce and Miller–Norton parameter values shown). The inferred M‐N values, characterizing the creep, are very similar to those obtained via conventional creep testing.
S. Ooi, R. P. Thompson, T. W. Clyne
wiley   +1 more source

Cross-dataset benchmarking of machine learning models for marine and atmospheric environmental prediction. [PDF]

PLoS One
Zhou X, Zhang H, Du T, Yuan Q, Wang H.
europepmc   +1 more source

In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy

Advanced Engineering Materials, EarlyView.
A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal, Tae‐Hyeok Kang, Pyuck‐Pa Choi, Subin Lee, Christoph Kirchlechner   +4 more
wiley   +1 more source

Experimental study on portable multi-parameter intelligent wind measurement sensor. [PDF]

Sci Rep
Wang Z, Wang Y, Ni Y, Gong X, Jing K.
europepmc   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Minimizing losses and maximizing efficiency in wind power systems: advanced optimization approaches. [PDF]

Sci Rep
Hossain S, Avital EJ, Venkatesan N.
europepmc   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

Reconstructing fine-scale 3D wind fields with terrain-informed machine learning. [PDF]

Nat Commun
Lin C, Tie R, Yi S, Liu D, Zhong X, Hu Z, Li H.   +6 more
europepmc   +1 more source

Wind Speed Prediction After An Hour for Simple Wind Speed Prediction Method Using Hierarchical Neural Network

Proceedings of Japan Wind Energy Symposium, 2007
Sori, Hitoshi, Yasuno, Takashi
openaire   +1 more source