Compute property

This modifier assigns values to a particle or bond property by computing them through a user-defined mathematical formula. The modifier may be used to assign new properties to particles or bonds or modify existing properties.

The user-defined formula for computing the output values can include references to existing per-particle or per-bond data as well as global parameters such as the simulation box dimensions or the current animation time. You can find a list of all available input variables in the user interface of the modifier. Furthermore, the Compute property modifier can be used to perform mathematical computations that involve other neighboring particles within a spherical volume around each particle.

Output property

As described in the introduction on particle properties, certain properties such as Color or Radius have a special meaning to the program as their values control the visual appearance of particles and bonds. Thus, if you use the Compute property modifier to set or modify such properties, it will affect the visualization directly. For instance, you can use the modifier to change the values of the Position particle property and move particles around or set the Color property to give particles newly computed colors. When setting the Selection property, the Compute property modifier acts like a more powerful version of the Expression selection modifier.

You can also use the Compute property modifier to assign new kinds of properties to particles or bonds and use this information in subsequent operations in the data pipeline or export it to an output file. Simply enter a name of your choice for the new property into the Output property field. Note that property names in OVITO are always case-sensitive. All standard property names defined by the program are found in the drop-down list box.

Vector properties

Some particle properties in OVITO such as Position or Color possess multiple components per particle. In such cases, you'll have to enter a separate math expression for each vector component of the output property. Note that, in the current program version, the modifier does not allow you to create user-defined vector properties. You can only create scalar user-defined properties.

Selective and conditional property assignment

If the selected output property already exists, then the old values of the property will be overwritten with the new ones computed by the modifier. The Compute only for selected elements option, however, lets you restrict the assignment to a subset of the particles or bonds and thus preserve the existing property values for some of the elements.

The ternary operator ?: (described in the operator table below) allows you to use simple if-else conditions as part of the calculation. For example, to make all particles in the upper half of the simulation box semi-transparent and the particles in the lower half fully opaque, one could use the following conditional expression to set the values of the Transparency particle property:

(ReducedPosition.Z > 0.5) ? 0.7 : 0.0

For more complex computations, which cannot be accomplished with static expressions like in this example, please consider using the Python script modifier instead, which lets you write custom modification functions in a real procedural programming language.

Including neighbor particles in the calculation

In the standard case, the expression for computing the output value for a particle depends only on the values of existing properties of the particle as well as global quantities such as the current simulation time. Optionally, the modifier allows you to specify a formula that includes terms referring to the properties of neighboring particles within a certain range around the central particle for which the output property value is being calculated.

Formally speaking, the modifier supports formulas of the following general form

for computing the output property value P(i) for some particle i. The first term, F(i), refers to the standard part of the expression, which only depends on the properties of particle i itself. The second term consists of contributions from all nearby particles within a spherical region of radius Rc centered around particle i. These contributions are computed according to a second user-defined function, G(j), which is evaluated for every neighbor particle j. This formula for the user-defined function G(j) must be entered into the input field labeled Neighbor expression, and it can depend on property values of the current neighbor j, property values of the central particle i, the distance and the vector between the two particles, as well as global quantities.

The neighbor term allows you to perform advanced computations that involve the local neighborhood of particles. For example, we can use this feature to average an existing particle property (let's call it "InputProperty") over a spherical volume around each particle by using the following expressions:

F(i) := InputProperty / (NumNeighbors+1)
G(j) := InputProperty / (NumNeighbors+1)

Note that NumNeighbors is a dynamic variable that represents the number of neighbors within the selected cutoff radius, which is used in this example to normalize the resulting mean property value. We can even weight the contributions from different neighbors according to their distance from the central particle by incorporating the Distance dynamic variable in the function G(j). To give another example, the following pair of expressions computes the potential energy of each particle according to a Lennard-Jones function:

F(i) := 0
G(j) := 4 * (Distance^-12 - Distance^-6)

In this case, no contribution is coming from the central particle itself.

Within the neighbor expression term, G(j), it is possible to refer to properties of the central particle i by prepending the @-symbol to the property name. For example, we can use this feature to count the neighbors around a particle whose types are different from the type of the central particle:

F(i) := 0
G(j) := ParticleType != @ParticleType

Here, the negative comparison operator != will evaluate to 1 if the type of particle j is not equal to the type of particle i; and 0 otherwise.

Computations on bonds

In addition to particle properties, the modifier also allows you to compute and assign new bond properties. In bond-based mode, regular expression variables refer to existing properties of the current bond. Additionally, you can incorporate the properties of the two adjacent particles connected by the current bond into the expression. When referring to a particle property, you need to prepend @1. or @2. to the property name. For example, we can use the following expression to set the Selection property of bonds and thus select all bonds which connect two particles of different type and whose length exceeds a threshold value of 2.8:

@1.ParticleType != @2.ParticleType && BondLength > 2.8

Note that, in general, the orientation of bonds is arbitrary. Thus, a bond can point from particle A to particle B or vice versa, and accordingly @1. (and @2. alike) can refer to either one of the two particles connected by the bond. This means, in some cases more complex expressions are necessary to account for the two possibilities. For example, to select all bonds that connect pairs of particles of type 1 and 2:

(@1.ParticleType == 1 && @2.ParticleType == 2) || (@1.ParticleType == 2 && @2.ParticleType == 1)

Expression syntax

The expression syntax supported by the modifier is very similar to the one of the C programming language. Variable names and function names are case-sensitive. Arithmetic expressions can be composed from constant values, input variables and math functions using the following operators in the given order of precedence:

OperatorDescription
(...)expressions in parentheses are evaluated first
A^Bexponentiation (A raised to the power B)
A*B, A/Bmultiplication and division
A+B, A-Baddition and subtraction
A==B, A!=B, A<B, A<=B, A>B, A>=Bcomparison between A and B (result is either 0 or 1)
A && Blogical AND operator: result is 1 if A and B differ from 0, else 0
A || Blogical OR operator: result is 1 if A or B differ from 0, else 0
A ? B : CIf A differs from 0 (i.e. is true), the resulting value of this expression is B, else C.

The expression parser supports the following functions:

Function nameDescription
abs(A)Absolute value of A. If A is negative, returns -A otherwise returns A.
acos(A)Arc-cosine of A. Returns the angle, measured in radians, whose cosine is A.
acosh(A)Same as acos() but for hyperbolic cosine.
asin(A)Arc-sine of A. Returns the angle, measured in radians, whose sine is A.
asinh(A)Same as asin() but for hyperbolic sine.
atan(A)Arc-tangent of A. Returns the angle, measured in radians, whose tangent is A.
atan2(Y,X)Two argument variant of the arctangent function. Returns the angle, measured in radians. This function is documented here.
atanh(A)Same as atan() but for hyperbolic tangent.
avg(A,B,...)Returns the average of all arguments.
cos(A)Cosine of A. Returns the cosine of the angle A, where A is measured in radians.
cosh(A)Same as cos() but for hyperbolic cosine.
exp(A)Exponential of A. Returns the value of e raised to the power A where e is the base of the natural logarithm, i.e. the non-repeating value approximately equal to 2.71828182846.
fmod(A,B)Returns the floating-point remainder of A/B (rounded towards zero).
rint(A)Rounds A to the closest integer. 0.5 is rounded to 1.
ln(A)Natural (base e) logarithm of A.
log10(A)Base 10 logarithm of A.
log2(A)Base 2 logarithm of A.
max(A,B,...)Returns the maximum of all parameter values.
min(A,B,...)Returns the minimum of all parameter values.
sign(A)Returns: 1 if A is positive; -1 if A is negative; 0 if A is zero.
sin(A)Sine of A. Returns the sine of the angle A, where A is measured in radians.
sinh(A)Same as sin() but for hyperbolic sine.
sqrt(A)Square root of a value.
sum(A,B,...)Returns the sum of all parameter values.
tan(A)Tangent of A. Returns the tangent of the angle A, where A is measured in radians.

Additional example 1

Our aim is to compute the linear velocity of each particle based on the components vx, vy, and vz of its velocity vector. For this, we create a new user-defined property with the name "Speed" which is computed according to the following expression:

sqrt(Velocity.X^2 + Velocity.Y^2 + Velocity.Z^2)

Note that this expressions contains references to the X, Y, and Z components of the standard Velocity particle property, which must be present in the input dataset. The computed linear velocity values, stored in the new Speed property, can subsequently be used to color particles with the Color Coding modifier, for instance.

Additional example 2

The Compute property modifier can also be used to set particle properties which are not modifiable by other means. One such example is the per-particle radius: Let us assume you have already selected a subset of particles and want to give these particles a different size. You can use the Compute property modifier to set the value of the Radius particle property, which determines the per-particle display radii (see here). The selection state of particles is determined by the current value of their Selection property (non-zero means selected). The conditional formula

Selection ? 1.5 : 0.75

sets a radius depending on a particle's selection state. The above expression will evaluate to 1.5 for selected particles, and to 0.75 for unselected particles.

See also

ComputePropertyModifier (Python API)