Results 51 to 60 of about 419 (262)
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
A comparative study of turbulence models for overset grids
The implementation of two different types of turbulence models for a flow solver using the Chimera overset grid method is examined. Various turbulence model characteristics, such as length scale determination and transition modeling, are found to have a significant impact on the computed pressure distribution for a multielement airfoil case.
KEVIN RENZE +2 more
openaire +4 more sources
CFD numerical simulations of stopping maneuver of ship model using overset grid technology
[Objectives] With the development of international shipping, ports and waterways are becoming increasingly crowded. Study on stopping ability of large ships is crucial to their voyage safety.[Methods] The naoe-FOAM-SJTU solver based on the CFD platform ...
Sun Chenguang, Wang Jianhua, Wan Decheng
doaj +1 more source
Study on the effect of transition process on rotor hovering simulation
Hovering is one of important statuses to evaluate the aerodynamic performance of a rotor. With the development of the computer technology and CFD technique, the numerical methods based on the first principle are usually employed to evaluate the hovering ...
PANG Chao, LI Meng, GAO Zhenghong
doaj +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Robust Representation Learning for Clean Feature Discovery in Incomplete Multi‐View Clustering
Robust feature discovery in incomplete multi‐view clustering is achieved by coupling RPCA‐based clean representation recovery with neural‐network‐assisted graph learning. The resulting RIMVC framework constructs cleaner and more discriminative graph‐structured representations from incomplete and noisy multi‐view data, improving clustering robustness ...
Ping Hu +4 more
wiley +1 more source
An AI‐enabled micromixing framework is developed by integrating cGAN with Bayesian optimization for predictive control of microrobot‐driven flow manipulation. Through this framework, the spatiotemporal evolution of micromixing is learned directly from experimental images, while rapid identification of optimized microrobot actuation strategies is ...
Dineshkumar Loganathan, Chia‐Yuan Chen
wiley +1 more source
Uncertainty Analysis and Maneuver Simulation of Standard Ship Model
Maneuver simulation of a standard ship model gives indication of numerical accuracy. In the numerical calculation of ship maneuvering, uncertainty analysis is a necessary step to ensure the accuracy of the calculation.
Hui Li +4 more
doaj +1 more source
Numerical simulation of scour infilling in overset grid [PDF]
In the present study, sediment transport models have been implemented in the CFD solver FANS3D to simulate scour infilling process around a circular pier. FANS3D uses the finite-analytic method, which incorporates the analytic solution of the differential equation in its linearized form in the respective small subdomain.
H Kim, H Chen, J Briaud
openaire +1 more source
The method presented in this paper provides a practical sensorless solution for estimating both contact force and contact location using only standard joint encoders and an available robot dynamic model. By reformulating the contact estimation problem using a single scalar equivalent contact parameter, the approach enables fast and robust computation ...
Thanh‐Quan Ta, Shyh‐Leh Chen
wiley +1 more source

