A magneto-structural combined dimensional and topology optimization approach for interior permanent magnet synchronous machine (IPMSM) rotor design is proposed using the solid isotropic material with ...

In this study, we applied the second generation of the unified theory of acceptance and use of technology (UTAUT2) model and partial least-squares structural equation modeling (PLS-SEM) to fill this ...

We use genetic algorithms for the optimization of training set composition consisting of tens of thousands of small organic molecules. The resulting machine learning models are considerably more ...

A model of thermoelasticity problem is first proposed before presenting the models for which a mathematical analysis will be provided. Under mild conditions, we establish shape and topological ...

We implemented the Bayesian optimization (BO) method to modify exciton Hamiltonians for the photosynthetic reaction centers (RCs) to achieve better reproduction of the experimentally measured optical ...

Model predictive control python toolbox do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE). do-mpc enables the efficient ...