The work described in this paper extends the concept of critical frequency to a physics-based prediction methodology for predicting the spatial frequency content and surface roughness after polishing, given the features of the original surface, the material properties, and laser parameters.
The mathematical basis for a physics-based prediction of strong motion is the representation theorem, which shows how source models and wave-propagation effects combine to generate strong ground motions.
In the past 10 years, topological insulator phase has emerged in condensed matter physics with theoretical predictions and experimental observations of this phase in real materials [1 32].
This research discipline, generally known as electromagnetic forcing flows, is motivated by many engineering and physical applications such as plasma physics, geophysics, weather prediction and solid melting processes.
Initially ignored, the idea of hidden variables inspired interest after the publication of Bohm's Causality and Chance in Modern Physics (1957), the prediction of the Aharonov-Bohm effect (1959), and especially after it led American physicist John Bell to discover the Bell inequality theorem (1964; see quantum mechanics: Paradox of Einstein, Podolsky, and Rosen).
However, accuracy in space physics and Dst prediction in fact requires determination of the exact contribution of internal induced current to Dst depression with different levels.
The results confirm that the current zero-strength layer value (indeed the zero-strength concept) fails to capture the necessary physics for robust prediction of structural response under non-standard heating.
The potential benefit of the proposed methodology is that a significantly reduced number of recorded damage states may be required in order to train a multi-site damage locator without recourse to physics-based model predictions.
One of the great challenges in computational physics is the prediction of flow associated noise, where the quantities of interest, namely the sound waves can be at high frequencies and are usually orders of magnitude smaller in magnitude than the mean quantities.
If not, physics based structure prediction may ultimately be necessary for more complex systems.
