Results 101 to 110 of about 5,604 (312)
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
Aerodynamics and Motion Performance of the H-Type Floating Vertical Axis Wind Turbine
Aerodynamics and motion performance of the floating vertical wind turbine (VAWT) were studied in this paper, where the wind turbine was H-type and the floating foundation was truss spar type.
Ying Guo +3 more
doaj +1 more source
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
ObjectiveThis study uses the structural load inversion method to conduct a dynamic response state analysis of a floating wind turbine tower under wave action.
Chao WANG +4 more
doaj +1 more source
Estimating Wind and Wave Induced Forces On a Floating Wind Turbine [PDF]
In this work, the basic model for a spar buoy floating wind turbine [1], used by an extended Kalman filter, is presented and results concerning wind speed and wave force estimations are shown.
Henriksen, Lars Christian +2 more
core
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source
A GIS-based decision support model for offshore floating wind turbine installation
This paper presents a decision support model that assesses offshore suitability for floating wind turbine installation. The model is based on Multi-Criteria Analysis and Geographic Information Systems. An implementation of the model for the Aegean Sea is
A. A. Stefanakou +3 more
doaj +1 more source
Feasibility of offshore wind in Australia [PDF]
There is no offshore wind industry in Australia at present; however, offshore wind could have great potential. There is no published discussion of the economics of offshore wind on a national scale in Australia, so this paper offers analysis which may ...
Batchelor, Meg
core +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source

