md.force¶
Overview
Defines a force in HOOMDblue. 

Active force. 
Details
Apply forces to particles.

class
hoomd.md.force.
Force
¶ Defines a force in HOOMDblue.
Pair, angle, bond, and other forces are subclasses of this class.
Note
Force
is the base class for all loggable forces. Users should not instantiate this class directly.Initializes some loggable quantities.

property
energies
¶ The energies for all particles.
(
Loggable
: category=”particle”) Type
(N_particles, )
numpy.ndarray
ofnumpy.float64

property
forces
¶ The forces for all particles.
(
Loggable
: category=”particle”) Type
(N_particles, 3)
numpy.ndarray
ofnumpy.float64

property
torques
¶ The torque for all particles.
(
Loggable
: category=”particle”) Type
(N_particles, 3)
numpy.ndarray
ofnumpy.float64

property
virials
¶ The virial for all particles.
(
Loggable
: category=”particle”) Type
(N_particles, )
numpy.ndarray
ofnumpy.float64

property

class
hoomd.md.force.
Active
(filter, seed, rotation_diff=0.1)¶ Bases:
hoomd.md.force.Force
Active force.

filter
¶ Subset of particles on which to apply active forces.
 Type

active_force
¶ active force vector in reference to the orientation of a particle. It is defined per particle type and stays constant during the simulation.
 Type

active_torque
¶ active torque vector in reference to the orientation of a particle. It is defined per particle type and stays constant during the simulation.
 Type
Active
specifies that an active force should be added to all particles. Obeys \(\delta {\bf r}_i = \delta t v_0 \hat{p}_i\), where \(v_0\) is the active velocity. In 2D \(\hat{p}_i = (\cos \theta_i, \sin \theta_i)\) is the active force vector for particle \(i\) and the diffusion of the active force vector follows \(\delta \theta / \delta t = \sqrt{2 D_r / \delta t} \Gamma\), where \(D_r\) is the rotational diffusion constant, and the gamma function is a unitvariance random variable, whose components are uncorrelated in time, space, and between particles. In 3D, \(\hat{p}_i\) is a unit vector in 3D space, and diffusion follows \(\delta \hat{p}_i / \delta t = \sqrt{2 D_r / \delta t} \Gamma (\hat{p}_i (\cos \theta  1) + \hat{p}_r \sin \theta)\), where \(\hat{p}_r\) is an uncorrelated random unit vector. The persistence length of an active particle’s path is \(v_0 / D_r\). The rotational diffusion is applied to the orientation vector/quaternion of each particle. This implies that both the active force and the active torque vectors in the particle frame stay constant during the simulation. Hence, the active forces in the system frame are composed of the forces in particle frame and the current orientation of the particle.Examples:
all = filter.All() active = hoomd.md.force.Active(filter=hoomd.filter.All(), seed=1,rotation_diff=0.01) active.active_force['A','B'] = (1,0,0) active.active_torque['A','B'] = (0,0,0)
