4.1 Type of calculation and system specification

$\triangleright $ variable blue calculationMethod

Meaning: Specifies the method of calculation

Possible values (characters):

Default: USPEX

Format:

USPEX : calculationMethod

$\triangleright $ variable blue calculationType

Meaning: Specifies type of calculation, i.e., whether the structure of a bulk crystal, nanoparticle, or surface is to be predicted. This variable consists of three indices: dimensionality, molecularity and compositional variability, and the spin option with character “s” or “S”:

Default: 300

Format:

301 : calculationType

NOTE: If calculationType=310, i.e., a prediction for a molecular crystal is to be performed, then USPEX expects you to provide files MOL_1, MOL_2, …with molecular geometries for all types of molecules, and these molecules will be placed in the newly generated structures as whole objects. Available options: 300 (s300), 301 (s301), 310, 311, 000 (s000), 200 (s200), 201 (s201), –200 (–s200), –201 (–s201), 110.

$\triangleright $ variable blue optType

Meaning: This keyblock specifies the property (or properties) that you want to optimize. Default is minimization for enthalpy (and finite-temperature free energy) and volume, and maximization for the rest of optType — but you can explicitly specify whether you want minimization or maximization. You can also optimize properties to the target value (e.g., band gaps close to 1.34 eV are interesting for photovoltaics).

Possible values (characters):

Name

Number

Description

enthalpy

1

to find the stable phases

volume

2

minimization of volume per atom

   

(to find the densest structure)

hardness

3

hardness maximization

   

(to find the hardest phase)

struc_order

4

maximization of the degree of order

   

(to find the most ordered structure)

density

5

maximization of density

diel_sus

6

maximization of the static dielectric susceptibility

   

(only for VASP and GULP)

bandgap

7

maximization of the band gap

   

(only for VASP)

diel_gap

8

maximization of electrical energy storage capacity

   

(only for VASP)

mag_moment

9

maximization of the magnetization (i.e. magnetic moment per volume)

   

(only for VASP)

quasientropy

10

maximization of structural quasientropy

birefringence

11

difference between largest and smallest eigenvalues of

   

the refractive index tensor (only for VASP)

HalfMetalicity

12

maximization halfmetalicity parameter (only for VASP)

ZT

14

thermoelectric figure of merit ZT

   

(only for VASP and BoltzTraP)

Fphon

17

free energy at finite temperature

Elasticity-related properties (”11**”):

Value

Number

Description

K, Bulk Modulus

1101

maximization of bulk modulus

G, Shear Modulus

1102

maximization of shear modulus

E, Young’s Modulus

1103

maximization of Young’s modulus

v, Poisson’s ratio

1104

maximization of Poisson’s ratio

G/K, Pugh’s modulus ratio

1105

maximization of Pugh’s modulus ratio

Hv, Vickers hardness

1106

maximization of Vickers hardness

Kg, Fracture toughness

1107

maximization of fracture toughness

D, Debye temperature

1108

maximization of Debye temperature

Vm, sound velocity

1109

maximization of sound velocity

S-wave velocity

1110

maximization of S-wave velocity

P-wave velocity

1111

maximization of P-wave velocity

NOTE: Calculation of these elasticity-related properties are supported only for VASP (starting from VASP 5.1) and GULP. For VASP users, you need to add one more INCAR_* file to the Specific/ folder with the parameters IBRION=6, ISIF$\geq $3 and NFREE=4. The estimates of bulk, shear and Young’s moduli are the Voigh-Reuss-Hill (VRH) averages. Note that such calculations of the elastic properties may be numerically unstable and you will need to check the results carefully. Or use another, numerically very robust, way for calculating elastic moduli - using machine learning, see below.

Users also can perform the calculation of the elastic properties using Machine Learing (ML) approach, where the elastic moduli are computed using a graph convolutional neural network 19 and then hardness and fracture toughness are evaluated are calculated with the Mazhnik-Oganov model 20.

ML-based elasticity-related properties (”12**”):

Value

Number

Description

K, Bulk Modulus

1201

maximization of bulk modulus

G, Shear Modulus

1202

maximization of shear modulus

E, Young’s Modulus

1203

maximization of Young’s modulus

v, Poisson’s ratio

1204

maximization of Poisson’s ratio

G/K, Pugh’s modulus ratio

1205

maximization of Pugh’s modulus ratio

Hv, Vickers hardness

1206

maximization of Vickers hardness

Kg, Fracture toughness

1207

maximization of fracture toughness

NOTE: the implemented formula for fracture toughness works only for insulating materials (and carbides, borides, hydrides)

Default: enthalpy

Format:

% optType
enthalpy (equivalent to Min_enthalpy)
% EndOptType

another example:

% optType
Min_(bandgap-1.34)^2
% EndOptType

NOTE: In the latter case, we optimize a mathematical expression as the optType variable. The mathematical expression should be in parentheses and should be a valid MATLAB expression. The whole expression (including min_ and max_ if applicable) should be one unit, do NOT put blank space between the expression compartments. For example “( bandgap - 1.3 ) ^2"or min_ (bandgap-3) are NOT valid formats.

Multiobjective (Pareto) optimizations are also available by specifying several fitnesses in the optType keyblock, e.g.,

% optType
3 1
% EndOptType

or

% optType
max_Hardness enthalpy
% EndOptType

In multiobjective optimization, it is useful to start with a few generations of enthalpy-only optimization and then switch to Pareto optimization of all desired properties. The number of initial generations spent on enthalpy-only optimization by default is zero and is given in brackets as follows:

% optType
3 6 [5]
% EndOptType

or

% optType
max_Hardness min_Diel_sus [5]
% EndOptType

This means USPEX does enthalpy-only optimization up to the 5$^{th}$ generation, and then switches to multiobjective optimization.

Fig. 5a gives an example of hardness maximization for TiO$_2$ (optType=hardness), showing maximum possible hardness 14 GPa21 and refuting claims of Dubrovinsky (2001) about ultrahardness of TiO$_2$22, a good example of how a simple USPEX run can resolve a long-standing dispute. Fig. 5b shows an example of Pareto optimization, clearly displaying frequent trade-off between stability and properties.

\includegraphics[scale=0.75]{pic/hardness.png}
Figure 5: Examples of properties optimizations: (a) Prediction of the hardest structure of TiO$_2$21. (b) Pareto optimization of hardness and stability in the Cr-B system, showing several Pareto fronts23.

Notes: If optType=bandgap or diel_gap, instead of the gap we use an extended function that also behaves continuously for metals — namely, $\Delta E_ g - g(E_ F)/N$, where $\Delta E_ g$ is the gap, $g(E_ F)$ is the density of states at the Fermi level (for metals) and $N$ is the number of atoms in the unit cell. Thanks to the continuity of this function, global maximization of gap-related quantities can even be performed for metallic solutions. For metals it is equal to the DOS at the Fermi level, for semiconductors and insulators — to the band gap.

\includegraphics[scale=0.18]{pic/hardness_example.png}
Figure 6: Predictions of the hardest structure of TiO$_2$.

$\triangleright $ variable blue atomType

Meaning: Describes the identity of each type of atom.

Default: none, must specify explicitly

Format:

If you prefer to use the atomic numbers from Mendeleev’s Periodic Table of the Elements, specify:

% atomType
12 14 8
% EndAtomType

Or, if you prefer to use atomic names, specify:

% atomType
Mg Si O
% EndAtomType

You can alternatively specify the full names of the elements, for example:

% atomType
Magnesium Silicon Oxygen
% EndAtomType

$\triangleright $ variable blue numSpecies

Meaning: Specifies the number of atoms of each type.

Default: none, must specify explicitly

Format:

% numSpecies
4 4 12
% EndNumSpecies

This means there are 4 atoms of the first type, 4 of the second type, and 12 of the third type.

Notes: For variable-composition calculations, you have to specify the compositional building blocks as follows:

% numSpecies
2 0 3
0 1 1
% EndNumSpecies

This means that the first building block has formula A$_2$C$_3$ and the second building block has formula BC, where A, B and C are described in the block atomType. All structures will then have the formula $x$A$_2$C$_3$ + $y$BC with $x$, $y$ = (0,1,2,…) — or A$_{2x}$B$_ y$C$_{3x+y}$. If you want to do prediction of all possible compositions in the A-B-C system, you should specify:

% numSpecies
1 0 0
0 1 0
0 0 1
% EndNumSpecies

You can also do fixed-composition calculations with a variable number of formula units; in this case set calculationType=300, the composition of one formula unit, for example, A$_2$BC$_4$:

% numSpecies
2 1 4
% EndNumSpecies

and minimum and maximum total numbers of atoms in the unit cell, for example:

14 : minAt
28 : maxAt

$\triangleright $ variable blue magRatio

Meaning: Initial ratio of structures with different magnetic orders, namely NM, FM-LS, FM-HS, AFM-L, AFM-H, FM-LH, AF-LH states, respectively. Only VASP is supported.

Default: 0.1, 0.9/4, 0.9/4, 0.9/4, 0.9/4, 0, 0

Format:

% magRatio
1/8 1/8 1/8 1/8 1/8 0 0
% EndMagRatio

This means that probabilities of generating NM, FM-LS, FM-HS, AFM-L, AFM-H structures are all 20% (NOT 1/8 here! The number are rescaled so that sum of probabilities is 1.). No structures with FM-LH, AF-LH magnetic states will be generated.
Notes:
(1) The sum of magRatio can be larger than 1, the ratio will be rescaled to 1 automatically.

(2) The meaning and initial magnetic moment value in USPEX:

(3) For NM states, the initial magnetic moment will be 0 for all atoms. The initial magnetic moment MAGMOM of the atoms will be set to 1 and 4 for low and high spin states, respectively. For low/high spin mixed states, MAGMOM will be set to 1 or 4 randomly for each atom.

(4) AFM type structures will not be generated when having odd number of magnetic atoms in a unit cell.

(5) magRatio is also used for the mutation ratio in spinmuation operation.

$\triangleright $ variable blue ldaU

Meaning: Specifies Hubbard U value for atoms of each type with the LDA+U method. Only VASP is supported.

Default: 0 for each type of atoms

Format:

% ldaU
4 0
% EndLdaU

$\triangleright $ variable blue ExternalPressure

Meaning: Specifies external pressure at which you want to find structures, in GPa.

Default: 0

Format:

100 : ExternalPressure

NOTE: As of USPEX version 9.4.1 pressure value (in GPa) is set by the tag ExternalPressure in the INPUT.txt file. Please: do not specify it in relaxation files in the Specific/ folder.

$\triangleright $ variable blue valences

Meaning: Describes the valences of each type of atom. Used only to evaluate bond hardnesses, which are used for computing the approximate dynamical matrix (for softmutation) and hardness of the crystal.

Default: USPEX has a table of default valences (see Appendix 9.9). Beware, however, that for some elements (e.g., N, S, W, Fe, Cr, etc.) many valence states are possible. Unless you calculate hardness, just use the default values by not specifying valences. If you do calculate the hardness, you need to carefully and explicitly specify the valence.

Format:

% valences
2 4 2
% EndValences

$\triangleright $ variable blue goodBonds

Meaning: Specifes, in the matrix form, the minimum bond valences for contacts that will be considered as important bonds. Like the IonDistances matrix (see below), this is a square matrix. This is only used in calculations of hardness and in softmutation. One can estimate these values for a given bond type taking goodBonds=$\frac{valence}{max\_ coordination\_ number}$ or slightly smaller.

Default: USPEX can make a reasonable default estimation of goodBonds, you will see the values in OUTPUT.txt file. This should be sufficient for most purposes, but for hardness calculations you may need to carefully examine these values and perhaps set them manually. For more details, see Appendix 9.10

Format:

% goodBonds
10.0 10.0 0.2
10.0 10.0 0.5
0.2 0.5 10.0
% EndGoodBonds

Notes: The dimensionality of this matrix must be equal to either the number of atomic species or unity. If only one number is used, the matrix is filled with this number. The above matrix reads as follows: to be considered a bond, the Mg–Mg distance should be short enough to have bond valence of 10 or more, the same for Mg–Si, Si–Si, and O–O bonds (by using such exclusive criteria, we effectively disregard these interactions from the softmutation and hardness calculations), whereas Mg–O bonds that will be considered for hardness and softmutation calculations will have a bond valence of 0.2 or more, and the Si–O bonds will have a bond valence of 0.5 or more.

$\triangleright $ variable blue checkMolecules

Meaning: Switches on/off post-relaxation check that original molecules (files MOL_1, MOL_2, …) are intact. Useful for molecular crystals (calculationType=310, 311).

Possible values (integer):

Default: 1

Format:

1 : checkMolecules

$\triangleright $ variable blue checkConnectivity

Meaning: Switches on/off hardness calculation and connectivity-related criteria in softmutation.

Possible values (integer):

Default: 0

Format:

1 : checkConnectivity

$\triangleright $ variable blue fitLimit

Meaning: USPEX stops when it finds a fitness value equal to or better than fitLimit

Default: no default, has to be specified by the user.

Format:

-9.319 : fitLimit