Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Although CERN’s Large Hadron Collider has made a lasting impact on particle physics, it hasn’t yet open up a whole new frontier of particle physics like some scientists expected. One scientist ...

Abstract: To reduce the computational cost of finite-element analysis for rapid optimal motor design, surrogate modeling techniques have been widely studied. While conventional surrogate models mainly ...

Abstract: Halbach array tubular permanent magnet synchronous motors exhibit uniform magnetic field distribution and high thrust density, making them well-suited for high-speed, high-precision ...

You will be redirected to our submission process. Advancing protein and peptide research through multiscale modeling and machine learning offers transformative potential for understanding these vital ...