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| def __repr__(self, ): | ||
| return ("Potential '{0.name}': ε = {0.eps}, σ = {0.sig}").format(self) | ||
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| def evaluate(self, |
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So this computes the net force caused by the charge patterns, right ?
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the functions "evaluate"? it calculate both potential, gradient(adhesion stress) and curvature.
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Then the repr needs a better description
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I mean Force vs. spacially resolved pressure
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You implemented the net force and it's potential and derivative. I think you at least also have the stress distribution at least in overleaf. Can you also implement this ? I think we discussed that the derivative and potential to the stress field according to the gap field is more tricky. |
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implements #26 |
Do you mean the stress distribution in space? i.e. change of stress according to the space distance z rather than gap distance d? |
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I mean pressure as a function of x and y |
OK I got it. But actually in general cases, a function of x and y is not really possible. Or should I just integral back from Fourier space to compute E-field? Then it will be a variation to the original Persson's method. |
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I guess you can only compute |
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@sitangshugk95 I merged master in the code and the tests pass without bug. However, some tests need to be improved to add checks of the accuracy of the results. I opened an issue for that. |
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@sannant - what do we do with this? |
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I would keep it like that until someone eventually follows up on the work (which might be forever ). But I am happy to help out (we have quite detailed latex notes on the derivation of the formulas) if someday someone takes over. |
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Okay sounds good |
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Electrostatic with potential, gradient and curvature.