pele.potentials.LJpshift#

class pele.potentials.LJpshift(natoms, ntypeA, boxl=None, rcut=2.5, epsBB=0.5, sigBB=0.88, epsAB=1.5, sigAB=0.8)[source]#

binary lennard jones potential with smooth cutoff

Methods

NumericalDerivative(coords[, eps])

return the gradient calculated numerically

NumericalHessian(coords[, eps])

return the Hessian matrix of second derivatives computed numerically

getEnergy(coords)

return the energy at the given coordinates

getEnergyGradient(coords)

return the energy and gradient at the given coordinates

getEnergyGradientHessian(coords)

return the energy, gradient, and Hessian at the given coordinates

getEnergyGradientNumerical(coords)

getGradient(coords)

return the gradient at the given coordinates

getHessian(coords)

return the hessian

test_potential(coords[, eps])

print some information testing whether the analytical gradients are correct

Attributes