CSIRO's quantum-enhanced AI model boosts chip design accuracy using only 5 qubits, outperforming classical methods in ...

Abstract: Electromagnetic metasurface (EMMS) design based on far-field (FF) constraints without the complete knowledge of the fields on both sides of the metasurface is typically a time-consuming and ...

Although the tube theory is successful in describing entangled polymers qualitatively, a more quantitative description requires precise and consistent definitions of its parameters. Here we ...

The finite-element analysis (FEA)-based DS-HE-PMAM model is developed to obtain the sample data regarding input structural parameters and output design objectives. Based on the sample data, a powerful ...

A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...

Here, we propose a machine learning framework that deciphers the nonlinear relationships between synthetic parameters and electrical conductivity in 2D OMCs, enabling quantitative predictions for ...