Energy

The system energy, or Hamiltonian, consists of a sum of potential energy terms,

$$ \mathcal{H}_{sys} = U_1 + U_2 + … $$

The energy terms are specified in energy at the top level input and evaluated in the order given. For example:

energy:
    - isobaric: {P/atm: 1}
    - sasa: {molarity: 0.2, radius: 1.4 }
    - confine: {type: sphere, radius: 10,
                 molecules: [water]}
    - nonbonded:
        default: # applied to all atoms
        - lennardjones: {mixing: LB}
        - coulomb: {type: plain, epsr: 1, cutoff: 12}
        Na CH:   # overwrite specific atom pairs
        - wca: { mixing: LB }

    - maxenergy: 100
    - ...

The keyword maxenergy can be used to skip further energy evaluation if a term returns a large energy change (in kT), which will likely lead to rejection. The default value is infinity.

Note: Energies in MC may contain implicit degrees of freedom, i.e. be temperature-dependent, effective potentials. This is inconsequential for sampling density of states, but care should be taken when interpreting derived functions such as energies, entropies, pressure etc. {: .notice–info}

Infinite and NaN Energies

In case one or more potential energy terms of the system Hamiltonian returns infinite or NaN energies, a set of conditions exists to evaluate the acceptance of the proposed move:

  • always reject if new energy is NaN (i.e. division by zero)
  • always accept if energy change is from NaN to finite energy
  • always accept if the energy difference is NaN (i.e. from infinity to minus infinity)

Note: These conditions should be carefully considered if equilibrating a system far from equilibrium. {: .notice–notice}

External Pressure

This adds the following pressure term[^frenkel] to the Hamiltonian, appropriate for MC moves in $\ln V$:

$$ U = PV - k_BT\left ( N + 1 \right ) \ln V $$

where $N$ is the total number of molecules and atomic species.

[^frenkel]: Frenkel and Smith, 2nd Ed., Chapter 5.4.

isobaric Description
P/unit External pressure where unit can be mM, atm, or Pa.

Nonbonded Interactions

This term loops over pairs of atoms, $i$, and $j$, summing a given pair-wise additive potential, $u_{ij}$,

$$ U = \sum_{i=0}^{N-1}\sum_{j=i+1}^N u_{ij}(\textbf{r}_j-\textbf{r}_i)$$

Using nonbonded, potentials can be arbitrarily mixed and customized for specific particle combinations. Internally, the potential is splined in an interval [rmin,rmax] determined by the following policies:

  • rmin is decreased towards zero until the potential reaches u_at_rmin=20 kT
  • rmax is increased until the potential reaches u_at_rmax=1e-6 kT

If outside the interval, infinity or zero is returned, respectively. Finally, the spline precision can be controlled with utol=1e-5 kT.

Below is a description of possible nonbonded methods. For simple potentials, the hard coded variants are often the fastest option.

energy $u_{ij}$
nonbonded Any combination of pair potentials (splined)
nonbonded_cached Any combination of pair potentials (splined, only intergroup!)
nonbonded_exact Any combination of pair potentials (slower, but exact)
nonbonded_coulomblj coulomb+lennardjones (hard coded)
nonbonded_coulombwca coulomb+wca (hard coded)
nonbonded_pm coulomb+hardsphere (fixed type=plain, cutoff$=\infty$)
nonbonded_pmwca coulomb+wca (fixed type=plain, cutoff$=\infty$)

Mass Center Cut-offs

For cut-off based pair-potentials working between large molecules, it can be efficient to use mass center cut-offs between molecular groups, thus skipping all pair-interactions. A single cut-off can be used between all molecules (default), or specified for specific combinations:

- nonbonded:
      cutoff_g2g:
          default: 40
          "protein water": 60

OpenMP Control

If compiled with OpenMP, the following keywords can be used to control parallelisation for non-bonded interactions. The best combination depends on the simulated system size and composition. Currently, parallelisation is disabled by default.

- nonbonded:
    openmp: [g2g, i2all]
openmp Description
g2g Distribute on a molecule-to-molecule basis
i2all Parallelise single particle energy evaluations

Electrostatics

coulomb Description
type Coulomb type, see below
cutoff Spherical cutoff, $R_c$ after which the potential is zero
epsr Relative dielectric constant of the medium
utol=1e-5 Error tolerence for splining

This is a multipurpose potential that handles several electrostatic methods. Beyond a spherical real-space cutoff, $R_c$, the potential is zero while if below,

$$ u_{ij} = \frac{e^2 z_i z_j }{ 4\pi\epsilon_0\epsilon_r r_{ij} }\mathcal{S}(q) $$

where $\mathcal{S}(q=r/R_c)$ is a splitting function:

coulomb types Keywords $\mathcal{S}(q)$
none 0
plain 1
fanourgakis $1-\frac{7}{4}q+\frac{21}{4}q^5-7q^6+\frac{5}{2}q^7$
ewald alpha $\text{erfc}(\alpha R_cq)$
wolf alpha $\text{erfc}(\alpha R_cq)-\text{erfc}(\alpha R_c)q$
yukawa debyelength $e^{-\kappa R_c q}-e^{-\kappa R_c}$
yonezawa alpha $1+\text{erfc}(\alpha R_c)q+q^2$
qpotential order=300 $\prod_{n=1}^{\text{order}}(1-q^n)$
reactionfield epsrf $1+\frac{\epsilon_{RF}-\epsilon_r}{2\epsilon_{RF}+\epsilon_r}q^3-3\frac{\epsilon_{RF}}{2\epsilon_{RF}+\epsilon_r}q$
fennel alpha $\scriptstyle\text{erfc}(\alpha R_cq)-\text{erfc}(\alpha R_c)q+(q-1)q \left( \text{erfc}(\alpha R_c) + \frac{2\alpha R_c}{\sqrt{\pi}} e^{-\alpha^2 R_c^2} \right)$

Note: Internally $\mathcal{S}(q)$ is splined whereby all types evaluate at similar speed. {: .notice–info}

Ewald Summation

If type is ewald, terms from reciprocal space; surface energies; and self energies are automatically added to the Hamiltonian, activating additional keywords:

type=ewald Description
kcutoff Reciprocal-space cutoff
epss=0 Dielectric constant of surroundings, $\varepsilon_{surf}$ (0=tinfoil)
ipbc=false Use isotropic periodic boundary conditions, IPBC.
spherical_sum=true Spherical/ellipsoidal summation in reciprocal space; cubic if false.

The added energy terms are:

$$ \small \begin{aligned} U =& \overbrace{\frac{2\pi f}{V}\sum_{ {\bf k} \ne {\bf 0}} A_k\vert Q^{q\mu} \vert^2}^{\text{reciprocal}}

  • \overbrace{ f \sum_{j} \left( \frac{\alpha}{\sqrt{\pi}}q_j^2 + \frac{2\alpha^3}{3\sqrt{\pi}}\vert{\boldsymbol{\mu}}j\vert^2 \right)}^{\text{self}}\ &+ \underbrace{\frac{2\pi f}{(2\varepsilon{surf} + 1)V}\left( \vert \sum_{j}q_j{\bf r}j \vert^2 + 2\sum{j}q_i{\bf r}j \cdot \sum{j}{\boldsymbol{\mu}}j + \vert \sum{j}{\boldsymbol{\mu}}j \vert^2 \right )}{\text{surface}}\ \end{aligned} $$

where

$$ f = \frac{1}{4\pi\varepsilon_0\varepsilon_r} \quad\quad V=L_xL_yL_z $$

$$ A_k = \frac{e^{-k^2/4\alpha^2}}{k^2} \quad \quad Q^{q\mu} = \sum_{j}q_j + i({\boldsymbol{\mu}}_j\cdot {\bf k}) e^{i({\bf k}\cdot {\bf r}_j)} $$

$$ {\bf k} = 2\pi\left( \frac{n_x}{L_x} , \frac{n_y}{L_y} ,\frac{n_z}{L_z} \right),;; {\bf n} \in \mathbb{Z}^3 $$

In the case of isotropic periodic boundaries (ipbc=true), the orientational degeneracy of the periodic unit cell is exploited to mimic an isotropic environment, reducing the number of wave-vectors by one fourth compared with PBC Ewald. For point charges, IPBC introduce the modification,

$$ Q^q = \sum_jq_j\prod_{\alpha\in{x,y,z}}\cos\left(\frac{2\pi}{L_{\alpha}}n_{\alpha} r_{\alpha,j}\right) $$

while for point dipoles (currently unimplemented),

$$ Q^{\mu} = \sum_j\boldsymbol{\mu}j\cdot\nabla_j\left(\prod{\alpha \in{x,y,z}}\cos\left(\frac{2\pi}{L_{\alpha}}n_{\alpha}r_{\alpha,j}\right)\right). $$

Limitations: Ewald summation requires a constant number of particles, i.e. $\mu V T$ ensembles and Widom insertion are currently unsupported. {: .notice–info}

Mean-Field Correction

For cuboidal slit geometries, a correcting mean-field, external potential, $\varphi(z)$, from charges outside the box can be iteratively generated by averaging the charge density, $\rho(z)$, in $dz$-thick slices along $z$. This correction assumes that all charges interact with a plain Coulomb potential and that a cubic cutoff is used via the minimum image convention.

To enable the correction, use the akesson keyword at the top level of energy:

akesson Keywords
molecules Array of molecules to operate on
epsr Relative dielectric constant
nstep Number of energy evalutations between updating $\rho(z)$
dz=0.2 $z$ resolution (angstrom)
nphi=10 Multiple of nstep in between updating $\varphi(z)$
file=mfcorr.dat File with $\rho(z)$ to either load or save
fixed=false If true, assume that file is converged. No further updating and faster.

The density is updated every nstep energy calls, while the external potential can be updated slower (nphi) since it affects the ensemble. A reasonable value of nstep is system dependent and can be a rather large value. Updating the external potential on the fly leads to energy drifts that decrease for consecutive runs. Production runs should always be performed with fixed=true and a well converged $\rho(z)$.

At the end of simulation, file is overwritten unless fixed=true.

Pair Potentials

In addition to the Coulombic pair-potentials described above, a number of other pair-potentials can be used. Through the C++ API, it is easy to add new potentials.

Charge-Nonpolar

The energy when the field from a point charge, $z_i$, induces a dipole in a polarizable particle of unit-less excess polarizability, $\alpha_j=\left ( \frac{\epsilon_j-\epsilon_r}{\epsilon_j+2\epsilon_r}\right ) a_j^3$, is

$$ \beta u_{ij} = -\frac{\lambda_B z_i^2 \alpha_j}{2r_{ij}^4} $$

where $a_j$ is the radius of the non-polar particle and $\alpha_j$ is set in the atom topology, alphax. For non-polar particles in a polar medium, $\alpha_i$ is a negative number. For more information, see J. Israelachvili’s book, Chapter 5.

ionalpha Description
epsr Relative dielectric constant of medium

Limitations: Charge-polarizability products for each pair of species is evaluated once during construction and based on the defined atom types. {: .notice–info}

Cosine Attraction

An attractive potential used for coarse grained lipids and with the form,

$$ \beta u(r) = -\epsilon \cos^2 \left ( \frac{\pi(r-r_c)}{2w_c} \right ) $$

for $r_c\leq r \leq r_c+w_c$. For $r<r_c$, $\beta u=-\epsilon$, while zero for $r>r_c+w_c$.

cos2 Description
eps Depth, $\epsilon$ (kJ/mol)
rc Width, $r_c$ (Å)
wc Decay range, $w_c$ (Å)

Hard Sphere

hardsphere

The hard sphere potential does not take any input. Radii are read from the atomlist at the beginning of the simulation.

Lennard-Jones

lennardjones Description
mixing Mixing rule (LB)
custom Custom $\epsilon$ and $\sigma$ combinations

The Lennard-Jones potential consists of a repulsive and attractive term,

$$ u_{ij}^{\text{LJ}} = 4\epsilon_{ij} \left ( \left ( \frac{\sigma_{ij}} {r_{ij})} \right )^{12} - \left ( \frac{\sigma_{ij}}{r_{ij})}\right )^6 \right ) $$

and currently only the Lorentz-Berthelot (LB) mixing rule is available:

$$ \sigma_{ij} = \frac{\sigma_i+\sigma_j}{2} \quad \textrm{and} \quad \epsilon_{ij} = \sqrt{\epsilon_i \epsilon_j} $$

The mixing rule can be overridden for specific pairs of atoms:

lennardjones:
    mixing: LB
    custom:
        "Na Cl": {eps: 0.2, sigma: 2}
        "K Cl": {eps: 0.1, sigma: 3}

Weeks-Chandler-Andersen

Like Lennard-Jones but cut and shifted to zero at the minimum, forming a purely repulsive potential,

$$ u_{ij} = u_{ij}^{\text{LJ}} + \epsilon_{ij} \quad \textrm{for} \quad r<2^{1/6}\sigma_{ij} $$

wca Description
mixing=LB Mixing rule; only LB available.
custom Custom $\epsilon$ and $\sigma$ combinations

SASA

This calculates the surface area of two intersecting particles or radii $R$ and $r$ to estimate an energy based on transfer-free-energies (TFE) and surface tension. The total surface area is calculated as

$$ A = 4\pi \left ( R^2 + r^2 \right ) - 2\pi \left ( Rh_1 + rh_2 \right ) $$

where $h_1$ and $h_2$ are the heights of the spherical caps comprising the lens formed by the overlapping spheres. For complete overlap, or when far apart, the full area of the bigger sphere or the sum of both spheres are returned. The pair-energy is calculated as:

$$ u_{ij} = A \left ( \gamma_{ij} + c_s \varepsilon_{\text{tfe},ij} \right ) $$

where $\gamma_{ij}$ and $\varepsilon_{\text{tfe},ij}$ are the arithmetic means of tension and tfe provided in the atomlist.

Note that SASA is strictly not additive and this pair-potential is merely a poor-mans way of approximately take into account ion-specificity and hydrophobic/hydrophilic interactions.

sasa Description
molarity Molar concentration of co-solute, $c_s$.
radius=1.4 Probe radius for SASA calculation (angstrom)
shift=true Shift to zero at large separations

Custom

This takes a user-defined expression and a list of constants to produce a runtime, custom pair-potential. While perhaps not as computationally efficient as hard-coded potentials, it is a convenient way to access alien potentials. Further, used in combination with nonbonded there is no overhead since all potentials are splined.

custom Description
function Mathematical expression for the potential (units of kT)
constants User-defined constants
cutoff Spherical cut-off distance

The following illustrates how to define a Yukawa potential:

custom:
    function: lB * q1 * q2 / r * exp( -r/D ) # in kT
    constants:
        lB: 7.1  # Bjerrum length
        D: 30    # Debye length

The function is passed using the efficient ExprTk library and a rich set of mathematical functions and logic is available. In addition to user-defined constants, the following symbols are defined:

symbol Description
e0 Vacuum permittivity [C^2/J/m]
inf infinity
kB Boltzmann's constant [J/K]
kT Boltzmann's constant x temperature [J]
Nav Avogadro's number [1/mol]
pi Pi
q1,q2 particle charges [e]
r particle-particle separation [angstrom]
Rc Spherical cut-off [angstrom]
s1,s2 particle sigma [angstrom]
T temperature [K]

Custom External Potential

This applies a custom expernal potential to atoms or molecular mass centra using the ExprTk library syntax.

customexternal Description
molecules Array of molecules to operate on
com=false Operate on mass-center instead of individual atoms?
function Mathematical expression for the potential (units of kT)
constants User-defined constants

In addition to user-defined constants, the following symbols are available:

symbol Description
e0 Vacuum permittivity [C^2/J/m]
inf infinity
kB Boltzmann's constant [J/K]
kT Boltzmann's constant x temperature [J]
Nav Avogadro's number [1/mol]
pi Pi
q particle charge [e]
s particle sigma [angstrom]
x,y,z particle positions [angstrom]
T temperature [K]

If com=true, charge refers to the molecular net-charge, and x,y,z the mass-center coordinates. The following illustrates how to confine molecules in a spherical shell of radius, r, and thickness dr:

customexternal:
    molecules: [water]
    com: true
    constants: {radius: 15, dr: 3}
    function: >
        var r2 := x^2 + y^2 + z^2;
        if ( r2 < radius^2 )
           1000 * ( radius-sqrt(r2) )^2;
        else if ( r2 > (radius+dr)^2 )
           1000 * ( radius+dr-sqrt(r2) )^2;
        else
           0;

Bonded Interactions

Bonds and angular potentials are added via the keyword bondlist either directly in a molecule definition (topology) or in energy/bonded where the latter can be used to add inter-molecular bonds:

energy:
    - bonded:
        bondlist: # absolute index
           - harmonic: { index: [56,921], k: 10, req: 15 }
moleculelist:
    - water: # TIP3P
        structure: "water.xyz"
        bondlist: # index relative to molecule
            - harmonic: { index: [0,1], k: 5024, req: 0.9572 }
            - harmonic: { index: [0,2], k: 5024, req: 0.9572 }
            - harmonic_torsion: { index: [1,0,2], k: 628, aeq: 104.52 }

Bonded potential types:

Note: $\mu V T$ ensembles and Widom insertion are currently unsupported for molecules with bonds. {: .notice–info}

Harmonic

harmonic Harmonic bond
k Harmonic spring constant (kJ/mol/Ų)
req Equilibrium distance (Å)
index Array with exactly two indices (relative to molecule)

$$ u(r) = \frac{1}{2}k(r-r_\mathrm{eq})^2 $$

Finite Extensible Nonlinear Elastic

fene Finite Extensible Nonlinear Elastic Potential
k Bond stiffness (kJ/mol/Ų)
rmax Maximum separation, $r_m$ (Å)
index Array with exactly two indices (relative to molecule)

Finite extensible nonlinear elastic potential long range repulsive potential.

$$ u(r) = \begin{cases} -\frac{1}{2} k r_{\mathrm{max}}^2 \ln \left [ 1-(r/r_{\mathrm{max}})^2 \right ], & \text{if } r < r_{\mathrm{max}} \ \infty, & \text{if } r \geq r_{\mathrm{max}} \end{cases} $$

Note: It is recommend to only use the potential if the initial configuration is near equilibrium, which prevalently depends on the value of rmax. Should one insist on conducting simulations far from equilibrium, a large displacement parameter is recommended to reach finite energies. {: .notice–info}

Finite Extensible Nonlinear Elastic + WCA

fene+wca Finite Extensible Nonlinear Elastic Potential + WCA
k Bond stiffness (kJ/mol/Ų)
rmax Maximum separation, $r_m$ (Å)
eps=0 Epsilon energy scaling (kJ/mol)
sigma=0 Particle diameter (Å)
index Array with exactly two indices (relative to molecule)

Finite extensible nonlinear elastic potential long range repulsive potential combined with the short ranged Weeks-Chandler-Anderson (wca) repulsive potential. This potential is particularly useful in combination with the nonbonded_cached nobonded energy.

$$ u(r) = \begin{cases} -\frac{1}{2} k r_{\mathrm{max}}^2 \ln \left [ 1-(r/r_{\mathrm{max}})^2 \right ] + u_{\mathrm{wca}}, & \text{if } 0 < r \leq 2^{1/6}\sigma \ -\frac{1}{2} k r_{\mathrm{max}}^2 \ln \left [ 1-(r/r_{\mathrm{max}})^2 \right ], & \text{if } 2^{1/6}\sigma < r < r_{\mathrm{max}} \ \infty, & \text{if } r \geq r_{\mathrm{max}} \end{cases} $$

Note: It is recommend to only use the potential if the initial configuration is near equilibrium, which prevalently depends on the value of rmax. Should one insist on conducting simulations far from equilibrium, a large displacement parameter is recommended to reach finite energies. {: .notice–info}

Harmonic torsion

harmonic_torsion Harmonic torsion
k Harmonic spring constant (kJ/mol/rad²)
aeq Equilibrium angle $\alpha_\mathrm{eq}$ (deg)
index Array with exactly three indices (relative to molecule)

$$ u(r) = \frac{1}{2}k(\alpha - \alpha_\mathrm{eq})^2 $$

Cosine based torsion (GROMOS-96)

g96_torsion Cosine based torsion
k Force constant (kJ/mol)
aeq Equilibrium angle $\alpha_\mathrm{eq}$ (deg)
index Array with exactly three indices (relative to molecule)

$$ u(r) = \frac{1}{2}k(\cos(\alpha) - \cos(\alpha_\mathrm{eq}))^2 $$

Proper periodic dihedral

periodic_dihedral Proper periodic dihedral
k Force constant (kJ/mol)
n Periodicity (multiplicity) of the dihedral (integer)
phi Angle $\phi_\mathrm{syn}$ (deg)
index Array with exactly four indices (relative to molecule)

$$ u(r) = k(1 + \cos(n\phi - \phi_\mathrm{syn})) $$

Geometrical Confinement

confine Confine molecules to a sub-region
type Confinement geometry: sphere, cylinder, or cuboid
molecules List of molecules to confine (names)
com=false Apply to molecular mass center
k Harmonic spring constant in kJ/mol or inf for infinity

Confines molecules in a given region of the simulation container by applying a harmonic potential on exterior atom positions, $\mathbf{r}_i$:

$$ U = \frac{1}{2} k \sum^{\text{exterior}} f_i $$

where $f_i$ is a function that depends on the confinement type, and $k$ is a spring constant. The latter may be infinite which renders the exterior region strictly inaccessible and may evaluate faster than for finite values. During equilibration it is advised to use a finite spring constant to drive exterior particles inside the region.

Note: Should you insist on equilibrating with $k=\infty$, ensure that displacement parameters are large enough to transport molecules inside the allowed region, or all moves may be rejected. Further, some analysis routines have undefined behavior for configurations with infinite energies. {: .notice–danger}

Available values for type and their additional keywords:

sphere Confine in sphere
radius Radius ($a$)
origo=[0,0,0] Center of sphere ($\mathbf{O}$)
scale=false Scale radius with volume change, $a^{\prime} = a\sqrt[3]{V^{\prime}/V}$
$f_i$ $\vert\mathbf{r}_i-\mathbf{O}\vert^2-a^2$

The scale option will ensure that the confining radius is scaled whenever the simulation volume is scaled. This could for example be during a virtual volume move (analysis) or a volume move in the $NPT$ ensemble.

cylinder Confine in cylinder along $z$-axis
radius Radius ($a$)
origo=[0,0,*] Center of cylinder ($\mathbf{O}$, $z$-value ignored)
$f_i$ $\vert (\mathbf{r}_i-\mathbf{O})\circ \mathbf{d}\vert^2 - a^2$

where $\mathbf{d}=(1,1,0)$ and $\circ$ is the entrywise (Hadamard) product.

cuboid Confine in cuboid
low Lower corner $[x,y,z]$
high Higher corner $[x,y,z]$
$f_i$ $\sum_{\alpha\in {x,y,z} } (\delta r_{i,\alpha})^2$

where $\delta r$ are distances to the confining, cuboidal faces. Note that the elements of low must be smaller than or equal to the corresponding elements of high.

Solvent Accessible Surface Area

sasa SASA Transfer Free Energy
radius=1.4 Probe radius for SASA calculation (angstrom)
molarity Molar concentration of co-solute

Calculates the free energy contribution due to

  1. atomic surface tension
  2. co-solute concentration (typically electrolytes)

via a SASA calculation for each atom. The energy term is:

$$ U = \sum_i^N A_{\text{sasa},i} \left ( \gamma_i + c_s \varepsilon_{\text{tfe},i} \right ) $$

where $c_s$ is the molar concentration of the co-solute; $\gamma_i$ is the atomic surface tension; and $\varepsilon_{\text{tfe},i}$ the atomic transfer free energy, both specified in the atom topology with tension and tfe, respectively.

Penalty Function

This is a version of the flat histogram or Wang-Landau sampling method where an automatically generated bias or penalty function, $f(\mathcal{X}^d)$, is applied to the system along a one dimensional ($d=1$) or two dimensional ($d=2$) reaction coordinate, $\mathcal{X}^d$, so that the configurational integral reads,

$$ Z(\mathcal{X}^d) = e^{-\beta f(\mathcal{X}^d)} \int e^{-\beta \mathcal{H}(\mathcal{R}, \mathcal{X}^d)} d \mathcal{R}. $$

where $\mathcal{R}$ denotes configurational space at a given $\mathcal{X}$. For every visit to a state along the coordinate, a small penalty energy, $f_0$, is added to $f(\mathcal{X}^d)$ until $Z$ is equal for all $\mathcal{X}$. Thus, during simulation the free energy landscape is flattened, while the true free energy is simply the negative of the generated bias function,

$$ \beta A(\mathcal{X}^d) = -\beta f(\mathcal{X}^d) = -\ln\int e^{-\beta \mathcal{H}(\mathcal{R}, \mathcal{X}^d)} d \mathcal{R}. $$

Flat histogram methods are often attributed to Wang and Landau (2001) but the idea appears in earlier works, for example by Hunter and Reinhardt (1995) and Engkvist and Karlström (1996).

To reduce fluctuations, $f_0$ can be periodically reduced (update, scale) as $f$ converges. At the end of simulation, the penalty function is saved to disk as an array ($d=1$) or matrix ($d=2$). Should the penalty function file be available when starting a new simulation, it is automatically loaded and used as an initial guess. This can also be used to run simulations with a constant bias by setting $f_0=0$.

Example setup where the $x$ and $y$ positions of atom 0 are penalized to achieve uniform sampling:

energy:
- penalty:
    f0: 0.5
    scale: 0.9
    update: 1000
    file: penalty.dat
    coords:
    - atom: {index: 0, property: "x", range: [-2.0,2.0], resolution: 0.1}
    - atom: {index: 0, property: "y", range: [-2.0,2.0], resolution: 0.1}

Options:

penalty Description
f0 Penalty energy increment (kT)
update Interval between scaling of f0
scale Scaling factor for f0
nodrift=true Suppress energy drift
quiet=false Set to true to get verbose output
file Name of saved/loaded penalty function
overwrite=true If false, don't save final penalty function
histogram Name of saved histogram (not required)
coords Array of one or two coordinates

The coordinate, $\mathcal{X}$, can be freely composed by one or two of the types listed in the next section (via coords).

Reaction Coordinates

The following reaction coordinates can be used for penalising the energy and can further be used when analysing the system (see Analysis).

Atom Properties

coords=[atom] Single atom properties
index Atom index
property x, y, z, q
range Array w. [min:max] value
resolution Resolution along coordinate
N Number of atoms of ID=index

Molecule Properties

coords=[molecule] Single molecule properties
index Molecule index
range Array w. [min:max] value
resolution Resolution along coordinate
property Options:
angle Angle between instantaneous principal axis and given dir vector
com_x, com_y, com_z Mass center coordinates
confid Conformation id corresponding to frame in traj (see molecular topology).
end2end Distance between first and last atom
mu_x, mu_y, mu_z Molecular dipole moment components
mu Molecular dipole moment scalar (eA/charge)
muangle Angle between dipole moment and given dir vector
N Number of atoms in group
Q Monopole moment (net charge)
atomatom Distance along dir between 2 atoms specified by the indexes array
cmcm Absolute mass-center separation between groups defined by the intervals indexes[0]:indexes[1] and indexes[2]:indexes[3]
cmcm_z z-component of mass-center separation between groups defined by the intervals indexes[0]:indexes[1] and indexes[2]:indexes[3]
L/R Ratio between height and radius of a cylindrical lipid vesicle (ad-hoc RC for bending modulus calculations)

Notes:

  • the molecular dipole moment is defined w. respect to the mass-center
  • for angle, the principal axis is the eigenvector corresponding to the smallest eigenvalue of the gyration tensor

System Properties

coords=[system] System property
range Array w. [min:max] value
resolution Resolution along coordinate
property Options:
V System volume
Q System net-charge
Lx,Ly,Lz Side lengths of enclosing cuboid
height Alias for Lz
radius Radius of spherical or cylindrical geometries
N Number of active particles

The enclosing cuboid is the smallest cuboid that can contain the geometry. For example, for a cylindrical simulation container, Lz is the height and Lx=Ly is the diameter.

Multiple Walkers with MPI

If compiled with MPI, the master process collects the bias function from all nodes upon penalty function update. The average is then re-distributed, offering linear parallellizing of the free energy sampling. It is crucial that the walk in coordinate space differs on the different nodes, i.e. by specifying a different random number seed; start configuration; or displacement parameter. File output and input are prefixed with mpi{rank}.

The following starts all MPI processes with the same input file and MPI prefix is automatically appended to all other input and output:

yason.py input.yml | mpirun --np 6 --stdin all faunus -s state.json

Here, each process automatically looks for mpi{nproc}.state.json.

Constraining the system

Reaction coordinates can be used to constrain the system within a range using the constrain energy term. Stepping outside the range results in an inifinite energy, forcing rejection. For example,

energy:
    - constrain: {type: molecule, index: 0, property: end2end, range: [0,200]}

Tip: placing constrain at the top of the energy list is more efficient as the remaining energy terms are skipped should an infinite energy arise.