DrudeIntegrator

class openmm.openmm.DrudeIntegrator(*args)

A base class to encapsulate features common to Drude integrators.

__init__(self, stepSize) → DrudeIntegrator

__init__(self, other) → DrudeIntegrator

Create a DrudeSCFIntegrator.

Parameters

stepSize (double) – the step size with which to integrator the system (in picoseconds)

Methods

__init__(-> DrudeIntegrator)	Create a DrudeSCFIntegrator.
getConstraintTolerance(self)	Get the distance tolerance within which constraints are maintained, as a fraction of the constrained distance.
getDrudeTemperature(self)	Get the temperature of the heat bath applied to internal coordinates of Drude particles (in Kelvin).
getIntegrationForceGroups(self)	Get which force groups to use for integration.
getMaxDrudeDistance(self)	Get the maximum distance a Drude particle can ever move from its parent particle, measured in nm.
getRandomNumberSeed(self)	Get the random number seed.
getStepSize(self)	Get the size of each time step, in picoseconds.
setConstraintTolerance(self, tol)	Set the distance tolerance within which constraints are maintained, as a fraction of the constrained distance.
setDrudeTemperature(self, temp)	Set the temperature of the heat bath applied to internal coordinates of Drude particles (in Kelvin).
setIntegrationForceGroups(groups)	Set which force groups to use for integration.
setMaxDrudeDistance(self, distance)	Set the maximum distance a Drude particle can ever move from its parent particle, measured in nm.
setRandomNumberSeed(self, seed)	Set the random number seed.
setStepSize(self, size)	Set the size of each time step, in picoseconds.
step(self, steps)	Advance a simulation through time by taking a series of time steps.

Attributes

thisown

The membership flag

property thisown

The membership flag

step(self, steps)

Advance a simulation through time by taking a series of time steps.

Parameters

steps (int) – the number of time steps to take

getDrudeTemperature(self) → double

Get the temperature of the heat bath applied to internal coordinates of Drude particles (in Kelvin).

Returns

the temperature of the heat bath, measured in Kelvin

Return type

double

setDrudeTemperature(self, temp)

Set the temperature of the heat bath applied to internal coordinates of Drude particles (in Kelvin).

Parameters

temp (double) – the temperature of the heat bath, measured in Kelvin

getMaxDrudeDistance(self) → double

Get the maximum distance a Drude particle can ever move from its parent particle, measured in nm. This is implemented with a hard wall constraint. If this distance is set to 0 (the default), the hard wall constraint is omitted.

setMaxDrudeDistance(self, distance)

Set the maximum distance a Drude particle can ever move from its parent particle, measured in nm. This is implemented with a hard wall constraint. If this distance is set to 0 (the default), the hard wall constraint is omitted.

setRandomNumberSeed(self, seed)

Set the random number seed. The precise meaning of this parameter is undefined, and is left up to each Platform to interpret in an appropriate way. It is guaranteed that if two simulations are run with different random number seeds, the sequence of random forces will be different. On the other hand, no guarantees are made about the behavior of simulations that use the same seed. In particular, Platforms are permitted to use non-deterministic algorithms which produce different results on successive runs, even if those runs were initialized identically.

If seed is set to 0 (which is the default value assigned), a unique seed is chosen when a Context is created from this Force. This is done to ensure that each Context receives unique random seeds without you needing to set them explicitly.

getRandomNumberSeed(self) → int

Get the random number seed. See setRandomNumberSeed() for details.

__copy__(self) → Integrator

getConstraintTolerance(self) → double

Get the distance tolerance within which constraints are maintained, as a fraction of the constrained distance.

getIntegrationForceGroups(self) → int

Get which force groups to use for integration. By default, all force groups are included. This is interpreted as a set of bit flags: the forces from group i will be included if (groups&(1<<i)) != 0.

getStepSize(self) → double

Get the size of each time step, in picoseconds. If this integrator uses variable time steps, the size of the most recent step is returned.

Returns

the step size, measured in ps

Return type

double

setConstraintTolerance(self, tol)

Set the distance tolerance within which constraints are maintained, as a fraction of the constrained distance.

setIntegrationForceGroups(groups)

Set which force groups to use for integration. By default, all force groups are included.

Parameters

groups (set or int) – a set of indices for which force groups to include when integrating the equations of motion. Alternatively, the groups can be passed as a single unsigned integer interpreted as a bitmask, in which case group i will be included if (groups&(1<<i)) != 0.

setStepSize(self, size)

Set the size of each time step, in picoseconds. If this integrator uses variable time steps, the effect of calling this method is undefined, and it may simply be ignored.

Parameters

size (double) – the step size, measured in ps