OpenMM
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This is a leap-frog Verlet Integrator that simulates systems with Drude particles. More...
Public Member Functions | |
def | getMinimizationErrorTolerance |
getMinimizationErrorTolerance(self) -> double | |
def | setMinimizationErrorTolerance |
Set the error tolerance to use when minimizing the potential energy. | |
def | step |
Advance a simulation through time by taking a series of time steps. | |
def | __init__ |
__init__(self, stepSize) -> DrudeSCFIntegrator __init__(self, other) -> DrudeSCFIntegrator | |
Public Attributes | |
this |
This is a leap-frog Verlet Integrator that simulates systems with Drude particles.
It uses the self-consistent field (SCF) method: at every time step, the positions of Drude particles are adjusted to minimize the potential energy.
This Integrator requires the System to include a DrudeForce, which it uses to identify the Drude particles.
def __init__ | ( | self, | |
args | |||
) |
__init__(self, stepSize) -> DrudeSCFIntegrator __init__(self, other) -> DrudeSCFIntegrator
Create a DrudeSCFIntegrator.
stepSize | (double) the step size with which to integrator the system (in picoseconds) |
def getMinimizationErrorTolerance | ( | self | ) |
getMinimizationErrorTolerance(self) -> double
Get the error tolerance to use when minimizing the potential energy. This roughly corresponds to the maximum allowed force magnitude on the Drude particles after minimization.
def setMinimizationErrorTolerance | ( | self, | |
tol | |||
) |
Set the error tolerance to use when minimizing the potential energy.
This roughly corresponds to the maximum allowed force magnitude on the Drude particles after minimization.
tol | (double) the error tolerance to use, measured in kJ/mol/nm |
def step | ( | self, | |
steps | |||
) |
Advance a simulation through time by taking a series of time steps.
steps | (int) the number of time steps to take |
Reimplemented from Integrator.
Reimplemented from Integrator.